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Build 25 Real World Machine Learning Project In 2022

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18:50:46

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  • 1. Introduction To The Course.mp4
    01:50
  • 2. Course Project Outline.mp4
    02:15
  • 1. introduction, importing libraries - Image caption bot.mp4
    05:31
  • 2. data cleaning.mp4
    04:56
  • 3. data preprocessing.mp4
    09:19
  • 4. data preparation.mp4
    06:11
  • 5. Training the model.mp4
    14:24
  • 6.1 Image caption Code and Model Files.zip
  • 6. Download The Project Files.html
  • 1. Importing libraries and data -costa rican house hold.mp4
    03:48
  • 2. Data preprocessing and feature engineering.mp4
    20:28
  • 3. Creating models-costa rican house hold.mp4
    14:51
  • 4.1 Costa rican household -code.zip
  • 4. Download The Project Files.html
  • 1. Importing libraries and data - Stroke Prediction Problem.mp4
    04:54
  • 2. data preprocessing.mp4
    08:18
  • 3. creating models.mp4
    15:15
  • 4. PCA -Stroke Prediction Problem.mp4
    09:07
  • 5.1 Stroke prediction problem- code.zip
  • 5. Download The Project Files.html
  • 1. importing libraries data - car price prediction.mp4
    03:57
  • 2. understanding the data.mp4
    10:19
  • 3. creating and hypertunning model - car price prediction.mp4
    21:02
  • 4.1 car prediction data Code.zip
  • 4. Download The Project Files.html
  • 1. importing libraries and data Bigmart sales prediction.mp4
    03:39
  • 2. understanding the data.mp4
    08:52
  • 3. EDA.mp4
    06:21
  • 4. Creating models.mp4
    10:02
  • 5. Hypertuning.mp4
    10:44
  • 6.1 Bigmart Sales Prediction- code.zip
  • 6. Download The Project Files.html
  • 1. importing libraries data - Loan Prediction Analysis.mp4
    03:10
  • 2. data preprocessing, visualization.mp4
    12:46
  • 3. Creating models.mp4
    09:00
  • 4. hypertuning models.mp4
    14:21
  • 5.1 Loan Prediction Code.zip
  • 5. Download The Project Files.html
  • 1. Importing libraries and data - Predicting employee attrition.mp4
    02:53
  • 2. data preprocessing and visualization.mp4
    12:14
  • 3. Feature selection and model building.mp4
    16:41
  • 4. Hypertuning.mp4
    06:21
  • 5.1 PredictEmployeeAttrition -code.zip
  • 5. Download The Project Files.html
  • 1. Importing libraries data - Predicting Hotel Booking.mp4
    03:00
  • 2. data preprocessing, EDA.mp4
    16:07
  • 3. Feature engineering, model building.mp4
    11:26
  • 4.1 Hotel Booking Prediction -code.zip
  • 4. Download The Project Files.html
  • 1. Importing libraries data - Apparent temperature prediction.mp4
    03:29
  • 2. dataprocessing.mp4
    10:37
  • 3. Model building part1.mp4
    19:02
  • 4. Model building part2.mp4
    04:07
  • 5.1 APPARENT TEMPERATURE PREDICTION -code.zip
  • 5. Download The Project Files.html
  • 1. Importing libraries data - Consumer Complaint classification.mp4
    03:10
  • 2. Data preprocessing.mp4
    03:51
  • 3. Model building.mp4
    15:39
  • 4. Hyperparameter tuning.mp4
    12:56
  • 5.1 Consumer Complaint Classification -code.zip
  • 5. Download The Project Files.html
  • 1. Introduction to case study.mp4
    02:49
  • 2. Understanding the code.mp4
    04:10
  • 3. Write function to capture video.mp4
    04:36
  • 4. completing the function.mp4
    05:58
  • 5. testing the code.mp4
    01:03
  • 6.1 CODE LIVE SKETCH.zip
  • 6. Download The Project Files.html
  • 1. Introduction.mp4
    01:57
  • 2. Introduction To Colab.mp4
    03:27
  • 3. Importing the dataset.mp4
    04:38
  • 4. splitting the data.mp4
    02:57
  • 5. creating the model..mp4
    09:20
  • 6. complile the model.mp4
    04:56
  • 7. Train the model.mp4
    04:51
  • 8.1 CODE TRADITIONAL DANCE CLASSIFICATION.zip
  • 8. Download The Project Files.html
  • 1. Introduction to Leaf Disease Dectector.mp4
    02:26
  • 2. Importing Libraries and dataset.mp4
    04:11
  • 3. Creating inception layer.mp4
    06:10
  • 4. Data processing and creating model.mp4
    06:02
  • 5. Compiling the model..mp4
    10:59
  • 6. Training the model.mp4
    04:21
  • 7.1 Tomato disease dataset.zip
  • 7. Download The Project Files.html
  • 1. Introduction To Car Brand Detector.mp4
    02:44
  • 2. Importing the data.mp4
    04:52
  • 3. Creating the model.mp4
    09:18
  • 4. Compile the model..mp4
    08:43
  • 5. Train the model.mp4
    08:31
  • 6.1 car brand dataset.zip
  • 6. Download The Project Files.html
  • 1. TWEET ANALYSIS INTRODUCTION.mp4
    02:48
  • 2. Importing libraries.mp4
    04:51
  • 3. Understanding the data.mp4
    05:18
  • 4. Splitting the data.mp4
    02:12
  • 5. Data Preprocessing.mp4
    07:06
  • 6.1 Tweet analysis dataset.zip
  • 6. Download The Project Files.html
  • 1. Introduction.mp4
    03:41
  • 2. Importing libraries and data.mp4
    07:11
  • 3. understand data.mp4
    09:40
  • 4. data visualization.mp4
    05:30
  • 5. data preprocessing.mp4
    15:47
  • 6. 6.mp4
    09:40
  • 7.1 Emotion analysis using NLP -code.zip
  • 7. Download The Project Files.html
  • 1. Introduction.mp4
    03:11
  • 2. Importing lib and data.mp4
    16:45
  • 3. EDA.mp4
    19:59
  • 4. Model building.mp4
    12:35
  • 5.1 Amazon alexa review - code.zip
  • 5. Download The Project Files.html
  • 1. Introduction to disaster system.mp4
    03:11
  • 2. importing lib and data.mp4
    13:41
  • 3. data preprocessing.mp4
    11:46
  • 4. data visualization.mp4
    08:37
  • 5. Creating NLP model.mp4
    09:52
  • 6.1 Disaster Prediction system -code.zip
  • 6. Download The Project Files.html
  • 1. Intro to IMDB review system.mp4
    02:39
  • 2. Importing Libraries and dataset.mp4
    11:18
  • 3. Data Visualization.mp4
    16:59
  • 4. Data Preprocessing.mp4
    12:46
  • 5. Building Models.mp4
    07:50
  • 6.1 IMDB Movie Review system -code.zip
  • 6. Download The Project Files.html
  • 1. Introduction to vaccination for justified user system using NLP..mp4
    02:53
  • 2. Importing data and libraries.mp4
    17:49
  • 3. data preprocessing.mp4
    15:24
  • 4. data visualization.mp4
    15:15
  • 5. creating models.mp4
    07:16
  • 6.1 vaccination for justified user system -code.zip
  • 6. Download The Project Files.html
  • 1. Introduction.mp4
    04:00
  • 2. import libraries.mp4
    11:07
  • 3. EDA or data exploration..mp4
    10:52
  • 4. model building.mp4
    15:12
  • 5. final.mp4
    41:15
  • 6.1 Blood Donation Analysis.zip
  • 6. Download The Project Files.html
  • 1. Introduction.mp4
    03:23
  • 2. importing libraries.mp4
    03:45
  • 3. EDA Human data.mp4
    06:11
  • 4. EDA chimp data.mp4
    02:11
  • 5. model building human data.mp4
    09:54
  • 6. model building chimp data.mp4
    09:47
  • 7. final.mp4
    35:10
  • 8.1 DNA Classification.zip
  • 8. Download The Project Files.html
  • 1. Introduction.mp4
    02:56
  • 2. importing data.mp4
    05:35
  • 3. EDA or visualize data.mp4
    11:12
  • 4. model building.mp4
    12:55
  • 5. final.mp4
    32:35
  • 6.1 Kyphosis Disease Classification.zip
  • 6. Download The Project Files.html
  • 1. mortality prediction intro.mp4
    01:51
  • 2. Importing libraries.mp4
    04:24
  • 3. EDA-1.mp4
    07:23
  • 4. EDA-2 correlations.mp4
    06:45
  • 5. model building.mp4
    15:43
  • 6. mortality prediction in ICU using ANN final.mp4
    36:07
  • 7.1 Mortality Prediction in ICU.zip
  • 7. Download The Project Files.html
  • 1. sucide rate trend analysis intro.mp4
    01:31
  • 2. importing libraries and dataset.mp4
    11:33
  • 3. EDA.mp4
    10:55
  • 4. model building.mp4
    06:35
  • 5. final.mp4
    30:37
  • 6.1 Sucide trend analysis.zip
  • 6. Download The Project Files.html
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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 122
    • duration 18:50:46
    • English subtitles has
    • Release Date 2024/03/13