100 Days Of Code: Real World Data Science Projects Bootcamp

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Pianalytix .

70:42:33

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1. Course Introduction

1. Course Introduction.mp4

02:06

2. Course Outline.mp4

01:04

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku

1. Introduction To Pan Card Tempering Detector.mp4

01:40

2. Loading libraries and dataset.mp4

03:49

3. Creating the pancard detector with opencv..mp4

12:18

4. Creating the Flask App.mp4

03:39

5. Creating Important functions.mp4

04:45

6. Deploy the app in Heruko1.mp4

05:34

7. Testing the deployed pan card detector.mp4

01:46

8.1 Collab Code.zip

8.2 Pan Card Tampering Flask App.zip

8. Download The Project Files.html

3. Project-2 Dog breed prediction Flask App

1. Introduction to dog breed prediction.mp4

01:52

2. Importing the data and libraries.mp4

06:05

3. Data Preprocessing.mp4

03:00

4. Build and Train Model.mp4

06:57

5. Testing the model.mp4

02:18

6. Creating the flask App.mp4

06:29

7. Running the app in system.mp4

04:01

8.1 Collab Code.zip

8.2 Dog Breed Prediction Streamlit App.zip

8. Download The Project Files.html

4. Project-3 Image Watermarking App -Deploy On Heroku

1. Introduction Image Watermarking.mp4

02:00

2. Importing libraries and logo.mp4

02:40

3. Create text and image watermark.mp4

08:36

4. Creating the app.mp4

13:05

5. Deploying the app in heruko.mp4

05:18

6.1 Collab Code.zip

6.2 Image Watermarking Flask App.zip

6. Download The Project Files.html

5. Project-4 Traffic sign classification

1. Introduction to traffic sign classification.mp4

03:17

2. importing the data and libraries.mp4

05:45

3. Image processing.mp4

04:12

4. creating and testing the model.mp4

06:50

5. Creating model for test set.mp4

05:06

6.1 Collab Code.zip

6. Download The Project Files.html

6. Project-5 Text Extraction From Images Application

1. Introduction to text extraction.mp4

02:09

2. Importing libraries and data.mp4

03:35

3. Extracting the test from image.mp4

04:16

4. Modifiying the extractor.mp4

07:47

5. creating the extractor app.mp4

08:10

6. running the extractor app.mp4

02:09

7.1 Collab Code.zip

7.2 Text Extraction Flask App.zip

7. Download The Project Files.html

7. Project-6 Plant Disease Prediction Streamlit App

1. Introduction.mp4

03:49

2. Importing libraries and data.mp4

03:38

3. Understanding the data and data preprocessing.mp4

04:56

4. Model building.mp4

07:23

5. Creating an app using streamlit.mp4

11:18

6.1 Collab Code.zip

6.2 Plant Disease Flask App.zip

6. Download The Project Files.html

8. Project-7 Vehicle Detection And Counting Flask App

1. Intro Vehicle Detection.mp4

03:01

2. Importing libraries and data Vehicle Detection.mp4

03:00

3. Transforing Images and creating output Vehicle Detection.mp4

10:43

4. Creating a flask APP Vehicle Detection.mp4

17:17

5.1 Collab Code.zip

5.2 Detect and Count Vehicle Flask App.zip

5. Download The Project Files.html

9. Project-8 Create A Face Swapping Flask App

1. Intro to Face Swap.mp4

02:29

2. Importing libraries and data FACE SWAP.mp4

04:22

3. Data preprocessing and creating output FACE SWAP.mp4

13:59

4. Creating A Flask APP FACE SWAP.mp4

14:39

5.1 Collab code.zip

5.2 Face Swap Flask App.zip

5. Download The Project Files.html

10. Project-9 Bird Species Prediction Flask App

1. Introduction to Bird Species Predictio.mp4

02:30

2. Improting Libraries And Data.mp4

06:04

3. Dataprocessing Bird Species Prediction.mp4

03:27

4. Creating ML Model Bird Species Prediction.mp4

10:06

5. Creating A Flask APP.mp4

13:17

6.1 Bird Species Flask App.zip

6.2 Collab Code.zip

6. Download The Project Files.html

11. Project-10 Intel Image Classification Flask App

1. Introduction to Intel Image Classification.mp4

02:55

2. Importing and processing data.mp4

07:01

3. Creating a Model.mp4

08:44

4. Creating a Flask App.mp4

12:17

5.1 Collab Code.zip

5.2 Intel Image Flask App.zip

5. Download The Project Files.html

12. Project-11 Language Translator App Using IBM Cloud Service -Deploy On Heroku

1. Introduction.mp4

03:36

2. Setting Service.mp4

02:42

3. Integrating Service.mp4

08:22

4. Coding the UI.mp4

14:02

5. Deployment on Heroku.mp4

11:52

6.1 Language Translator -Project Files.zip

6. Download The Project Files.html

13. Project-12 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku

1. Project Overview.mp4

02:24

2. Introduction.mp4

04:29

3. Setting up Watson Studio Part-1.mp4

09:33

4. Setting up Watson Studio Part-2.mp4

07:15

5. Deploying the Model on DeploymentCenter.mp4

05:01

6. Integrating Watson Service with UI.mp4

12:00

7. Deployment on Heroku Cloud..mp4

13:25

8.1 Advertisement Prediction -IBM watson-Code Files.zip

8. Download The Project Files.html

14. Project-13 Laptop Price Predictor -Deploy On Heroku

1. Overview.mp4

04:10

2. EDA Part-1.mp4

04:58

3. EDA Part-2.mp4

11:53

4. EDA Part-3.mp4

09:08

5. EDA Part-4.mp4

11:11

6. EDA Part-5.mp4

12:48

7. EDA Part-6.mp4

17:06

8. EDA Part-7.mp4

14:35

9. Model Building Part-1.mp4

20:24

10. Model Building Part-2.mp4

13:56

11. Model Building Part-3.mp4

15:16

12. Model Building Part-4.mp4

09:52

13. Model Building Part-5..mp4

02:10

14. Integrating with UI.mp4

15:23

15. Deployement on Heroku.mp4

09:36

16.1 laptop price predictor -Code Files.zip

16. Download The Project Files.html

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku

1. Introduction.mp4

06:25

2. Fetching Data from Whatsapp.mp4

02:38

3. Project Structure.mp4

07:36

4. Text Processing Part 1.mp4

11:08

5. Text Processing Part2.mp4

14:36

6. Text Processing Part 3.mp4

05:54

7. Text Processing Part4.mp4

14:11

8. Text Analytics Part 1.mp4

12:36

9. Model Building Part-1.mp4

20:24

10. Text Analytics Part 3.mp4

12:36

11. Text Analytics Part 3.mp4

12:12

12. Text Analytics Part5.mp4

11:43

13. Text Analytics Part6.mp4

07:56

14. Deployment on Heroku Cloud.mp4

10:37

15.1 Whatsapp text analyzer -Code Files.zip

15. Download The Project Files.html

16. Project-15 Course Recommendation System -Deploy On Heroku

1. Introduction.mp4

03:39

2. Coding Recommendation System.mp4

12:42

3. Integrating with Flask Server.mp4

14:49

4. Exploratory Data Analysis.mp4

07:38

5. Integrating Python Code with JavaScript.mp4

09:27

6. Deployment on Heroku Cloud.mp4

07:50

7.1 Course recommendation system -Code Files.zip

7. Download The Project Files.html

17. Project-16 IPL Match Win Predictor -Deploy On Heroku

1. Introduction.mp4

04:55

2. EDA Part 1.mp4

12:30

3. EDA Part 2.mp4

07:04

4. EDA Part 3.mp4

12:29

5. EDA Part 4.mp4

09:30

6. Model Building.mp4

14:42

7. Coding the UI.mp4

10:13

8. Deployment on HerokuCloud.mp4

14:24

9.1 IPL match predictor- Code Files.zip

9. Download The Project Files.html

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure

1. Introduction.mp4

03:48

2. EDA Part 1.mp4

08:55

3. EDA Part 2.mp4

11:09

4. Feature Selection Part 1.mp4

11:25

5. Feature Selection Part 2.mp4

05:28

6. Model Building.mp4

06:13

7. Model Evaluation.mp4

05:48

8. Coding the UI Part 1..mp4

10:09

9. Coding the UI Part 2.mp4

11:07

10. Model Deployment on Azure Part 1.mp4

12:43

11. Model Deployment on Azure Part 2..mp4

02:47

12.1 Body fat estimator -Code Files.zip

12. Download The Project Files.html

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure

1. Introduction.mp4

04:33

2. Data Preprocessing..mp4

09:30

3. EDA Part 1.mp4

10:26

4. EDA Part 2..mp4

07:56

5. Feature Selection.mp4

13:57

6. Model Building..mp4

05:08

7. HyperParameter Tuning,Model Testing.mp4

14:55

8. Coding the UI Part 1.mp4

06:22

9. Coding the UI Part 2.mp4

09:21

10. Coding the UI Part 3.mp4

12:40

11. Deployment Part 1.mp4

14:21

12. Deployment Part 2.mp4

01:59

13.1 Campus placement predictor -Code Files.zip

13. Download The Project Files.html

20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud

1. Introduction.mp4

04:54

2. Data Preprocessing.mp4

11:44

3. Model Building.mp4

08:31

4. Coding the UI.mp4

13:30

5. Integrating Jinja Framework.mp4

11:52

6. Integrating JavaScript with Flask.mp4

07:17

7. Deployment on GCP.mp4

16:46

8.1 Car acceptability prediction -Code Files.zip

8. Download The Project Files.html

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services

1. Introduction.mp4

03:35

2. Text Processing Part1.mp4

10:19

3. Text Processing Part2.mp4

10:29

4. Model Building..mp4

10:24

5. Model Testing.mp4

06:01

6. Integrating Model with Flask.mp4

11:11

7. Touch points on AWS.mp4

12:13

8. Deploying model on AWS EC2 instance.mp4

28:37

9. Fixing the Errors.mp4

03:07

10.1 Book genre classification -Code Files.zip

10. Download The Project Files.html

22. Project 21 DNA classification for finding E.Coli - Deploy On AWS

1. Introduction to project.mp4

05:00

2. Understanding the libraries and dataset.mp4

11:58

3. Preprocessing the data.mp4

21:12

4. Building and training the model.mp4

11:02

5. Understanding MLPClassifier model.mp4

16:06

6. Understanding the Django framework.mp4

16:55

7. Running our Django application.mp4

13:39

8. Hosting on AWS.mp4

21:56

9. Hosting on AWS.mp4

12:04

10. Hosting on AWS.mp4

12:47

11.1 E.coli Code files.zip

11. Download The Project Files.html

23. Project 22 Predict the next word in a sentence. - AWS - Deploy On AWS

1. Introduction.mp4

04:03

2. Understanding about libraries and preprocessing dataset.mp4

11:43

3. Text tokenization and vectorization.mp4

17:02

4. Building and training the model.mp4

11:57

5. Django framework.mp4

10:50

6. Setting up the website and unsderstanding the flow.mp4

18:04

7. Understanding the AWS cloud system.mp4

19:20

8. Setting up the server and hosting the website.mp4

20:40

9.1 Predict Next Word code files.zip

9. Download The Project Files.html

24. Project 23 Predict Next Sequence of numbers using LSTM - Deploy On AWS

1. Introduction.mp4

05:23

2. Understanding the libraries and dataset.mp4

12:36

3. Building and training the model.mp4

13:20

4. understanding the Django Framework.mp4

16:01

5. Working witht the django framework to build the website.mp4

15:29

6. Instantiating the instance with ec2.mp4

15:05

7. Setting and running the server.mp4

26:36

8.1 Predicting Sequence Code.zip

8. Download The Project Files.html

25. Project 24 Keyword Extraction from text using NLP - Deploy On Azure

1. Introduction.mp4

06:53

2. Introduction to libraries and data preprocessing.mp4

14:54

3. Developing the TF-IDF model.mp4

18:47

4. Understanding the django framework.mp4

15:20

5. Finalizing the website.mp4

14:07

6. Setting up the Azure VM.mp4

21:03

7. Setting and running the server.mp4

20:12

8.1 Keyword Extraction code &data.zip

8. Download The Project Files.html

26. Project 25 Correcting wrong spellings - Deploy On Azure

1. Introduction.mp4

05:31

2. Brief of libraries and preprocessing done.mp4

18:54

3. Developing the NLP model.mp4

15:43

4. Setting up the django application.mp4

14:33

5. Working on the django website.mp4

13:31

6. Creating the VM instance on Azure.mp4

21:30

7. Setting up the VM for hosting.mp4

14:58

8.1 Correct spelling preiction code & data.zip

8. Download The Project Files.html

27. Project 26 Music popularity classification - Deploy On Google App Engine

1. Introduction.mp4

03:53

2. Creating dataset through spotify API.mp4

15:51

3. Understanding the libraries and preprocessing the data.mp4

10:46

4. Developing the model_Trim.mp4

15:29

5. Setting up the django project.mp4

13:40

6. running our django application.mp4

14:07

7. Setting up the VM.mp4

10:04

8. Setting up the VM part-2.mp4

16:46

9. setting the code in VM.mp4

18:26

10.1 Music popularity Code & data.zip

10. Download The Project Files.html

28. Project 27 Advertisement Classification - Deploy On Google App Engine

1. Introduction.mp4

04:45

2. Understanding the libraries and the dataset.mp4

17:47

3. Understanding TF-IDF.mp4

12:12

4. Developing the LSTM model.mp4

11:19

5. Configuring the django porject.mp4

16:39

6. Running the django application.mp4

13:06

7. Setting up the VM part-1.mp4

14:09

8. Setting up the VM part-2.mp4

11:25

9. Running the VM.mp4

14:41

10.1 Video ADs Code & data.zip

10. Download The Project Files.html

29. Project 28 Image Digit Classification - Deploy On AWS

1. Introduction.mp4

04:23

2. Creating and preprocessing the dataset.mp4

19:38

3. Building the baseline and CNN model.mp4

11:17

4. Setting up the django application.mp4

15:47

5. updating the website.mp4

15:51

6. Instantiating the VM.mp4

16:51

7. setting the code inside the VM.mp4

14:44

8.1 Image Digits Code & data.zip

8. Download The Project Files.html

30. Project 29 Emotion Recognition using Neural Network - Deploy On AWS

1. Introduction.mp4

03:14

2. Understanding the libraries and model.mp4

12:29

3. Building and training the model.mp4

12:57

4. Setting up the django project.mp4

16:15

5. Running the django application.mp4

15:09

6. Setting up the VM.mp4

17:33

7. Running our code in the VM.mp4

17:25

8.1 Emotion Code.zip

8.3 emotion-dataset 160mb.zip

8. Download The Project Files.html

31. Project 30 Breast cancer Classification - Deploy On AWS

1. Introduction.mp4

05:21

2. Understanding the libraries and dataset.mp4

15:48

3. Developing the model.mp4

15:32

4. Setting up the django application.mp4

14:26

5. Running the django application.mp4

12:45

6. Setting up the VM.mp4

18:59

7. Running the VM.mp4

13:41

8.1 Breast Cancer Dataset Small -partial-.zip

8. Download The Project Files.html

9.1 Breast cancer detection Code.zip

9. Download The Project Files 2.html

32. Project-31 Sentiment Analysis Django App -Deploy On Heroku

1. Introduction to Sentiment Analysis Logistic Regression.mp4

02:08

2. Project Notebook Google Colab.mp4

18:31

3. Building Django App.mp4

10:55

4. Deploying APP in heruko.mp4

12:36

5.1 1-Sentiment Analysis Code.zip

5. Download The Project Files.html

33. Project-32 Attrition Rate Django Application

1. Introduction -Attrition Rate Django.mp4

02:27

2. Creating Colab Notebook.mp4

27:31

3. Creating Django App.mp4

10:59

4. Deploying APP in heruko.mp4

09:52

5.1 2-Attrition Rate Django code.zip

5. Download The Project Files.html

34. Project-33 Find Legendary Pokemon Django App -Deploy On Heroku

1. Introduction -Working with Pokemon Dataset.mp4

02:34

2. Creating Colab Notebook.mp4

20:00

3. Creating DJango APP.mp4

12:34

4. Deploying APP in heruko.mp4

09:02

5.1 Pokemon APP Code.zip

5. Download The Project Files.html

35. Project-34 Face Detection Streamlit App

1. Introduction to face app intro.mp4

02:44

2. Creating The Face App Using OpenCV.mp4

14:53

3. Creating The face app opencv.mp4

10:15

4. Creating The face app opencv.mp4

13:13

5.1 Face Detection App- Code.zip

5. Download The Project Files.html

36. Project-35 Cats Vs Dogs Classification Flask App

1. Introduction To Cats Vs Dogs Classification.mp4

03:05

2. Creating Project Notebook.mp4

25:55

3. Building Model -Colab.mp4

08:45

4. Building Flask App.mp4

07:00

5. Building Flask App Deployement.mp4

09:54

6.1 Cats Vs Dogs App Code.zip

6. Download The Project Files.html

37. Project-36 Customer Revenue Prediction App -Deploy On Heroku

1. Introduction To Customer Revenue Prediction.mp4

02:55

2. Colab Notebook Customer Revenue Prediction.mp4

22:58

3. Creating Flask App.mp4

14:23

4. Deploying Flask App.mp4

09:16

5.1 Customer Revenue Prediction Code.zip

5. Download The Project Files.html

38. Project-37 Gender From Voice Prediction App -Deploy On Heroku

1. Introduction- Gender From Voice Prediction.mp4

02:19

2. Creating Project Notebook.mp4

25:22

3. Creating Project App Django.mp4

12:46

4. Deploying The App.mp4

08:40

5.1 Voice Gender Prediction code.zip

5. Download The Project Files.html

39. Project-38 Restaurant Recommendation System

1. Intro To - Restaurant Recommendation System..mp4

04:21

2. Creating Colab Notebook.mp4

14:05

3. Exploratory Data Analysis-.mp4

10:38

4. Data Analysis2.mp4

31:57

5.1 Restaurant Rec - Code.zip

5. Download The Project Files.html

40. Project-39 Happiness Ranking Django App -Deploy On Heroku

1. Introduction to Happiness Ranking.mp4

03:27

2. Project Notebook.mp4

28:38

3. Creating Django App.mp4

17:36

4. Deploying Django App.mp4

08:50

5.1 Happiness Ranking - Code.zip

5. Download The Project Files.html

41. Project-40 Forest Fire Prediction Django App -Deploy On Heroku

1. Introduction To Forest Fire.mp4

04:26

2. Project Notebook.mp4

25:53

3. Project Notebook Part2-.mp4

08:21

4. Creating Django APP.mp4

15:16

5. Deploying Django App.mp4

09:14

6.1 Forest Fires App -Code.zip

6. Download The Project Files.html

42. Project-41 Build Car Prices Prediction App -Deploy On Heroku

1. Introduction.mp4

02:40

2. Machine Learning model building part1.mp4

07:20

3. Machine Learning model building part2.mp4

11:53

4. Machine Learning model building part3.mp4

13:40

5. Creating Django Application part1.mp4

12:18

6. Creating Django Application part2.mp4

08:21

7. Deploying on Heroku NW.mp4

08:36

8.1 Car selling price prediction -Code.zip

8. Download The Project Files.html

43. Project-42 Build Affair Count Django App -Deploy On Heroku

1. Introduction.mp4

03:07

2. Intoductory Machine Learning model building.mp4

12:27

3. Feature Building and Selection.mp4

14:16

4. Model Building.mp4

05:40

5. Django Application Introduction.mp4

07:07

6. 6Django Application building.mp4

15:13

7. Deploying on Heroku.mp4

06:35

8.1 Affair prediction- Code.zip

8. Download The Project Files.html

44. Project-43 Build Shrooming Predictions App -Deploy On Heroku

1. Introduction.mp4

02:57

2. Importing libraries and Understanding data.mp4

16:48

3. Building the model.mp4

09:57

4. Building Django Application.mp4

15:51

5. Delpoying on Heroku.mp4

07:59

6.1 Mushroom Classification App Code.zip

6. Download The Project Files.html

45. Project-44 Google Play App Rating prediction With Deployment On Heroku

1. Introduction.mp4

02:46

2. Introduction to libraries and dataset.mp4

14:56

3. Preprocessing the data.mp4

10:01

4. building the model.mp4

07:13

5. Django Application.mp4

14:57

6. Deploying to Heroku.mp4

07:17

7.1 Google App rating preiction Code.zip

7. Download The Project Files.html

46. Project-45 Build Bank Customers Predictions Django App -Deploy On Heroku

1. Introduction.mp4

03:07

2. Importing Libraries and understanding data.mp4

15:21

3. Building and training the model.mp4

13:08

4. Django Apllication.mp4

14:01

5. Deploying on heroku.mp4

07:21

6.1 Bank cards Code.zip

6. Download The Project Files.html

47. Project-46 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku

1. Introduction.mp4

03:28

2. Understanding the data.mp4

13:34

3. Outliers and Model.mp4

17:15

4. Building Django Application.mp4

15:24

5. Deploying to Heroku.mp4

07:55

6.1 Artist Sculpture Code.zip

6. Download The Project Files.html

48. Project-47 Build Medical Cost Predictions Django App -Deploy On Heroku

1. Introduction.mp4

02:34

2. Introduction and handling the data.mp4

17:03

3. Building the model.mp4

06:17

4. Django Application.mp4

13:25

5. Heroku Deployment.mp4

06:36

6.1 Medical Code.zip

6. Download The Project Files.html

49. Project-48 Phishing Webpages Classification Django App -Deploy On Heroku

1. Introduction.mp4

03:00

2. Understanding the data.mp4

14:00

3. Feature Selection and model building.mp4

09:18

4. Django Application.mp4

15:25

5. Deploying on Heroku.mp4

07:59

6.1 Phishing code.zip

6. Download The Project Files.html

50. Project-49 Clothing Fit-Size predictions Django App -Deploy On Heroku

1. Introduction.mp4

03:46

2. Understanding the data.mp4

10:17

3. Cleaning the data..mp4

15:05

4. Building the model.mp4

10:09

5. Implementing Django Application.mp4

13:30

6. Deploying to heroku.mp4

07:39

7.1 Clothing Code.zip

7. Download The Project Files.html

51. Project-50 Build Similarity In-Text Django App -Deploy On Heroku

1. Introduction.mp4

05:40

2. Cleaning the data.mp4

12:29

3. Building the model..mp4

17:17

4. Implementing Django web application.mp4

16:25

5. 5Deploying to Heroku.mp4

09:04

6.1 Similarity in Texts Code.zip

6. Download The Project Files.html

52. Project-51 Black Friday Sale Project

1. Importing libraries and data - BlackFridayVideo.mp4

04:21

2. Understanding data.mp4

03:54

3. Data visulaization and data preprocessing-.mp4

12:04

4. Model building part1.mp4

05:40

5. Model building part2.mp4

06:18

6.1 Notebook Black friday .zip

6. Download The Project Files.html

53. Project-52 Sentiment Analysis Project

1. Importing libraries and data.mp4

07:30

2. Text normalization.mp4

07:04

3. Lemmatization.mp4

04:21

4. Data preprocessing.mp4

10:43

5. Model Building.mp4

10:22

6.1 Sentiment analysis files.zip

6. Download The Project Files.html

54. Project-53 Parkinsons Disease Prediction Project

1. Importing libraries and data Parkinson Syndrome prediction.mp4

04:27

2. Understanding the data.mp4

08:07

3. data visualization.mp4

07:28

4. Model building part 1.mp4

09:08

5. Model building part 2-.mp4

11:40

6.1 Parkinson Disease files.zip

6. Download The Project Files.html

55. Project-54 Fake News Classifier Project

1. Importing libraries and data.mp4

03:40

2. data preprocessing.mp4

03:36

3. Text cleaning.mp4

07:07

4. Vectorizer.mp4

02:11

5. Model Building.mp4

13:34

6.1 Fake news classifier files.zip

6. Download The Project Files.html

56. Project-55 Toxic Comment Classifier Project

1. Importing libraries and data.mp4

07:00

2. Understanding data.mp4

04:40

3. data visualization and preprocessing.mp4

09:21

4. Balancing the target column.mp4

06:48

5. Model building.mp4

10:42

6. Model evaluation.mp4

06:27

7.1 Toxic Comment Classifier files.zip

7. Download The Project Files.html

57. Project-56 IMDB Movie Ratings Prediction

1. Importing libraries and data.mp4

12:35

2. Understanding data.mp4

10:54

3. data visualization.mp4

08:00

4. data preprocessing.mp4

07:49

5. Model building.mp4

12:49

6.1 IMDB files.zip

6. Download The Project Files.html

58. Project-57 Indian Air Quality Prediction

1. Importing-libraries-and-data.mp4

07:46

2. Understanding-data.mp4

07:40

3. data-visualization.mp4

07:46

4. data-preprocessing.mp4

07:46

5. Feature-Engineering.mp4

11:16

6. Model-building-part1.mp4

11:50

7. Model-building-part2.mp4

05:18

8.1 Indian Air Quality Files.zip

8. Download The Project Files.html

59. Project-58 Covid-19 Case Analysis

1. Importing-libraries-and-data.mp4

06:52

2. data-preprocessing-Covid-19-.mp4

09:50

3. Data-Analysis-part1-Covid-19.mp4

11:22

4. Data-Analysis-part2-Covid-19.mp4

12:36

5.1 Covid-19 Analysis Files.zip

5. Download The Project Files.html

60. Project-59 Customer Churning Prediction

1. Importing-libraries-and-data.mp4

13:41

2. Understanding-data-Customer.mp4

06:13

3. data-visualization-Customer.mp4

16:38

4. Model-building-Customer-Churn.mp4

13:18

5. -Hypertuning-Customer-Churning.mp4

08:28

6.1 Customer churn files.zip

6. Download The Project Files.html

61. Project-60 Create A ChatBot

1. -Importing-libraries-and-dat.mp4

04:14

2. Understanding-data-Chatbot.mp4

06:40

3. data-visualization-Chatbot.mp4

07:12

4. text-normalization-Chatbot.mp4

10:34

5. Creating-a-application-Chatbot.mp4

07:59

6.1 Chatbot files.zip

6. Download The Project Files.html

62. Project-61 Video Game sales Analysis

1. Intro To Video Games sales.mp4

03:56

2. colab part 1.mp4

26:21

3. colab part 2.mp4

05:56

4. Django App - Video Games.mp4

18:09

5. Heruko App Deployment - Video Games.mp4

09:25

6.1 Video games sales - Code.zip

6. Download The Project Files.html

63. Project-62 Zomato Restaurant Analysis

1. Zomato Restaurant Analysis.mp4

37:58

2.1 Zomato+Restaurant+Analysis.zip

2. Download The Project Files.html

64. Project-63 Walmart Sales Forecasting

1. Walmart Sales Forecasting.mp4

59:13

2.1 Walmart+Sales+Forecasting.zip

2. Download The Project Files.html

65. Project-64 Sonic wave velocity prediction using Signal Processing Techniques

1. Introduction to the project.mp4

06:15

2. Importing Libraries and DataSet.mp4

05:46

3. Data Analysis and Prepration.mp4

08:19

4. Building ML Model.mp4

07:03

5. Evaluating ML Model.mp4

05:36

6. Performing Wavelet Transformation.mp4

11:34

7. Building and Evaluation of model with transformed data.mp4

06:56

8.1 Sonic log Code and Files.zip

8. Download The Project Files.html

66. Project-65 Estimation of Pore Pressure using Machine Learning

1. Introduction to the project.mp4

07:26

2. Importing Libraries and Dataset.mp4

05:39

3. Data Analysis.mp4

08:24

4. Data Preprocessing..mp4

07:45

5. Building ML Models.mp4

11:51

6. Hypertuning the models and results..mp4

09:08

7.1 Pore pressure Code and Files.zip

7. Download The Project Files.html

67. Project-66 Audio processing using ML

1. Introduction to the Project.mp4

05:27

2. Importing and reading Audio file.mp4

09:50

3. Extracting Time-Domain features-1.mp4

09:58

4. Extracting Time-Domain features-2.mp4

07:14

5. Fourier Transform and it_s applications-1.mp4

10:40

6. Fourier Transform and Frequency Domain features.mp4

06:45

7.1 Audio Processing Code and Files.zip

7. Download The Project Files.html

68. Project-67 Text characterisation using Speech recognition

1. Introduction to the Project.mp4

03:57

2. Importing Libraries and Audio Files..mp4

04:45

3. Performing Speech Recognition.mp4

09:17

4. Performing Text Analysis.mp4

07:53

5.1 Test using speech Code and Files.zip

5. Download The Project Files.html

69. Project-68 Audio classification using Neural networks

1. Introduction to the project.mp4

04:32

2. Importing Libraries and Audio Files.mp4

05:53

3. Extracting audio features 1..mp4

08:02

4. Extracting audio features 2.mp4

05:19

5. Model Development 1.mp4

04:27

6. Model Development 2.mp4

05:06

7.1 Audio Classify Code and Files.zip

7. Download The Project Files.html

Description

Build 100 Projects in 100 Days- Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Heruko Cloud)

What You'll Learn?

Have a great intuition of many Machine Learning models
Know which Machine Learning model to choose for each type of problem
Implement Machine Learning Algorithms
Create supervised machine learning algorithms to predict classes.
Understand the full product workflow for the machine learning lifecycle.
Explore how to deploy your machine learning models.
Learn which Machine Learning model to choose for each type of problem
Real life case studies and projects to understand how things are done in the real world
Learn to use NumPy for Numerical Data
Use Matplotlib to create fully customized data visualizations with Python.
Explore large datasets and wrangle data using Pandas
Learn to use Seaborn for statistical plots

Who is this for?

Beginners in data science

More details

Description
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).

We have been able to process such a voluminous amount of data. We are able to analyze and draw insights from this data owing to these advanced computational systems.
However, despite all these advancements, data remains a vast ocean that is growing every second. While the huge abundance of data can prove useful for the industries, the problem lies in the ability to use this data.
As mentioned above, data is fuel but it is a raw fuel that needs to be converted into useful fuel for the industries. In order to make this raw fuel useful, industries require Data Scientists. Therefore, knowledge of data science is a must if you wish to use this data to help companies make powerful decisions.
According to Glassdoor, the average salary for a Data Scientist is $117,345/yr. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary.
This makes Data Science a highly lucrative career choice. It is mainly due to the dearth in Data Scientists resulting in a huge income bubble.
Since Data Science requires a person to be proficient and knowledgeable in several fields like Statistics, Mathematics and Computer Science, the learning curve is quite steep. Therefore, the value of a Data Scientist is very high in the market.
A Data Scientist enjoys the position of prestige in the company. The company relies on his expertise to make data-driven decisions and enable them to navigate in the right direction.
Furthermore, the role of a Data Scientist depends on the specialization of his employer company. For example â€“ A commercial industry will require a data scientist to analyze their sales.
A health-care company will require data scientists to help them analyze genomic sequences. The salary of a Data Scientist depends on his role and type of work he has to perform. It also depends on the size of the company which is based on the amount of data they utilize.
Still, the pay scale of Data Scientist is way above other IT and management sectors. However, the salary observed by Data Scientists is proportional to the amount of work that they must put in. Data Science needs hard work and requires a person to be thorough with his/her skills.

In This Course, We Are Going To Work On 100 Real World Projects Listed Below:

Project-1: Pan Card Tempering Detector App -Deploy On Heroku
Project-2: Dog breed prediction Flask App
Project-3: Image Watermarking App -Deploy On Heroku
Project-4: Traffic sign classification
Project-5: Text Extraction From Images Application
Project-6: Plant Disease Prediction Streamlit App
Project-7: Vehicle Detection And Counting Flask App
Project-8: Create A Face Swapping Flask App
Project-9: Bird Species Prediction Flask App
Project-10: Intel Image Classification Flask App

Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku
Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku
Project-13: Laptop Price Predictor -Deploy On Heroku
Project-14: WhatsApp Text Analyzer -Deploy On Heroku
Project-15: Course Recommendation System -Deploy On Heroku
Project-16: IPL Match Win Predictor -Deploy On Heroku
Project-17: Body Fat Estimator App -Deploy On Microsoft Azure
Project-18: Campus Placement Predictor App -Deploy On Microsoft Azure
Project-19: Car Acceptability Predictor -Deploy On Google Cloud
Project-20: Book Genre Classification App -Deploy On Amazon Web Services

Project 21 : DNA classification for finding E.Coli - Deploy On AWS
Project 22 : Predict the next word in a sentence. - AWS - Deploy On AWS
Project 23 : Predict Next Sequence of numbers using LSTM - Deploy On AWS
Project 24 : Keyword Extraction from text using NLP - Deploy On Azure
Project 25 : Correcting wrong spellings - Deploy On Azure
Project 26 : Music popularity classification - Deploy On Google App Engine
Project 27 : Advertisement Classification - Deploy On Google App Engine
Project 28 : Image Digit Classification - Deploy On AWS
Project 29 : Emotion Recognition using Neural Network - Deploy On AWS
Project 30 : Breast cancer Classification - Deploy On AWS

Project-31: Sentiment Analysis Django App -Deploy On Heroku
Project-32: Attrition Rate Django Application
Project-33: Find Legendary Pokemon Django App -Deploy On Heroku
Project-34: Face Detection Streamlit App
Project-35: Cats Vs Dogs Classification Flask App
Project-36: Customer Revenue Prediction App -Deploy On Heroku
Project-37: Gender From Voice Prediction App -Deploy On Heroku
Project-38: Restaurant Recommendation System
Project-39: Happiness Ranking Django App -Deploy On Heroku
Project-40: Forest Fire Prediction Django App -Deploy On Heroku

Project-41: Build Car Prices Prediction App -Deploy On Heroku
Project-42: Build Affair Count Django App -Deploy On Heroku
Project-43: Build Shrooming Predictions App -Deploy On Heroku
Project-44: Google Play App Rating prediction With Deployment On Heroku
Project-45: Build Bank Customers Predictions Django App -Deploy On Heroku
Project-46: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku
Project-47: Build Medical Cost Predictions Django App -Deploy On Heroku
Project-48: Phishing Webpages Classification Django App -Deploy On Heroku
Project-49: Clothing Fit-Size predictions Django App -Deploy On Heroku
Project-50: Build Similarity In-Text Django App -Deploy On Heroku

Project-51: Black Friday Sale Project
Project-52: Sentiment Analysis Project
Project-53: Parkinsonâ€™s Disease Prediction Project
Project-54: Fake News Classifier Project
Project-55: Toxic Comment Classifier Project
Project-56: IMDB Movie Ratings Prediction
Project-57: Indian Air Quality Prediction
Project-58: Covid-19 Case Analysis
Project-59: Customer Churning Prediction
Project-60: Create A ChatBot

Project-61: Video Game sales Analysis
Project-62: Zomato Restaurant Analysis
Project-63: Walmart Sales Forecasting
Project-64 : Sonic wave velocity prediction using Signal Processing Techniques
Project-65 : Estimation of Pore Pressure using Machine Learning
Project-66 : Audio processing using ML
Project-67 : Text characterisation using Speech recognition
Project-68 : Audio classification using Neural networks
Project-69 : Developing a voice assistant
Project-70 : Customer segmentation

Project-71 : FIFA 2019 Analysis
Project-72 : Sentiment analysis of web scrapped data
Project-73 : Determining Red Vine Quality
Project-74 : Customer Personality Analysis
Project-75 : Literacy Analysis in India
Project-76: Heart Attack Risk Prediction Using Eval ML (Auto ML)
Project-77: Credit Card Fraud Detection Using Pycaret (Auto ML)
Project-78: Flight Fare Prediction Using Auto SK Learn (Auto ML)
Project-79: Petrol Price Forecasting Using Auto Keras
Project-80: Bank Customer Churn Prediction Using H2O Auto ML

Project-81: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)
Project-82: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)
Project-83: Pizza Price Prediction Using ML And EVALML(Auto ML)
Project-84: IPL Cricket Score Prediction Using TPOT (Auto ML)
Project-85: Predicting Bike Rentals Count Using ML And H2O Auto ML
Project-86: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)
Project-87: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)
Project-88: Hospital Mortality Prediction Using PyCaret (Auto ML)
Project-89: Employee Evaluation For Promotion Using ML And Eval Auto ML
Project-90: Drinking Water Potability Prediction Using ML And H2O Auto ML

Project-91: Image Editor Application With OpenCV And Tkinter
Project-92: Brand Identification Game With Tkinter And Sqlite3
Project-93: Transaction Application With Tkinter And Sqlite3
Project-94: Learning Management System With Django
Project-95: Create A News Portal With Django
Project-96: Create A Student Portal With Django
Project-97: Productivity Tracker With Django And Plotly
Project-98: Create A Study Group With Django
Project-99: Building Crop Guide Application with PyQt5, SQLite
Project-100: Building Password Manager Application With PyQt5, SQLite

Tip: Create A 50 Days Study Plan Or 100 Day Study Plan, Spend 1-3hrs Per Day, Build 100 Projects In 50 Days OrÂ 100 Projects In 100 Days.

The Only Course You Need To Become A Data Scientist, Get Hired And Start A New Career

Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.
Who this course is for:
Beginners in data science

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Pianalytix .

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Pianalytix Edutech Pvt Ltd uses cutting-edge AI technology & innovative product design to help users learn Machine Learning more efficiently and to implement Machine Learning in the real world. Pianalytix also leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by optimizing processes, maximizing efficiency and increasing profitability.

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