Stop Being a Beginner in Machine Learning in 2024 | Python

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Ankyra Analytics

10:06:58

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1 - Introduction

1 - Introduction.mp4

01:24

2 - Course Structure.mp4

05:57

2 - Interview-Questions.pdf

2 - telecom-customer-churn.csv

2 - telecom-zipcode-population.csv

2 - What is Data Science Machine Learning and Data Science Project Process

3 - Lets Begin.mp4

07:08

4 - All about Machine LearningLets make first Machine Learning model without code.mp4

18:08

5 - Data Science Project Process.mp4

04:23

3 - Environment Setup

6 - Anaconda Installation Windows.mp4

03:14

7 - Anaconda Installation MacOS.mp4

02:57

4 - Toolkit Intro Statistics and python pandas numpy matplotlib and seaborn Recap

8 - Basic Statistics Intro.mp4

09:02

9 - pandas Intro.mp4

33:47

10 - numpy Intro.mp4

06:57

11 - matplotlib and seaborn Intro.mp4

14:31

5 - Data Preprocessing with Handson Python

12 - First Glance to Our Dataset.mp4

03:53

13 - Reading Data into Python.mp4

05:34

14 - Detecting Data Leak and Eliminate the Leakage.mp4

13:03

15 - Null Handling.mp4

23:11

16 - Encoding.mp4

39:18

17 - Feature Engineering on Our Geoghraphical Data.mp4

10:29

6 - Machine Learning Classification Algorithms All the Logic Behind Them

18 - Logistic Regression Logic.mp4

14:18

19 - Logistic Regression Key Takeaways.mp4

07:57

20 - kNN Classifier Logic and Key Takeaways.mp4

13:46

21 - Decision Tree Classifier Logic.mp4

07:15

22 - Logistic Regression kNN and Decision Tree Algorithms Wrapup.mp4

08:45

23 - There Are Some Inexpensive Lunches in Machine Learning.mp4

01:13

24 - Random Forest Classifier Logic Bagging Algorithm.mp4

07:41

25 - LightGBM Logic Boosting Algorithm.mp4

08:56

26 - XGBoost Logic.mp4

05:51

7 - General Modelling Concepts

27 - Train Test Split and OverfitUnderfit.mp4

09:58

28 - More on OverfitUnderfit Concept.mp4

07:23

8 - Classification Model Evaluation Metrics

29 - Classification Model Evaluation Metrics.mp4

12:52

9 - Logistic Regression Classifier and kNN Classifier Handson in Python

30 - Data Recap Separation and Train Test Split.mp4

16:43

31 - Outlier Elimination.mp4

33:13

32 - Take a Look at the Test Set Considering Outliers.mp4

06:13

33 - Feature Scaling.mp4

11:40

34 - Update the Train Labels After Outlier Elimination.mp4

02:52

35 - Logistic Regression in Python.mp4

11:58

36 - kNN Classifier in Python.mp4

08:06

10 - Decision Tree Classifier and Random Forest Classifier Handson in Python

37 - Decision Tree Classifier in Python.mp4

09:28

38 - Random Forest Classifier in Python.mp4

11:02

11 - LightGBM Classifier and XGBoost Classifier Handson in Python

39 - LightGBM Classifier in Python.mp4

06:47

40 - XGBoost Classifier in Python.mp4

10:18

12 - Classification Model Selection Feature Importance and Final Delivery

41 - Classification Model Selection.mp4

06:53

42 - Feature Importance Concept.mp4

07:05

43 - LightGBM Classifier Feature Importance.mp4

09:36

44 - LightGBM Classifier Retrain with Top Features.mp4

13:34

45 - Final Prediction for Joined Customers.mp4

07:41

13 - MultiClass Classification Handson in Python

46 - MultiClass Classification Explanation.mp4

01:43

47 - MultiClass Classification in Python.mp4

12:54

14 - Machine Learning Regression Models Algorithms and Evaluation

48 - Regression Introduction.mp4

06:23

49 - Linear Regression Logic.mp4

12:14

50 - kNN Decision Tree Random Forest LGBM and XGBoost Regressors Logic.mp4

11:12

51 - Regression Model Evaluation Metrics.mp4

09:34

15 - Regression Models in Python Handson Modelling

52 - Linear Regression in Python.mp4

13:38

53 - LightGBM Regressor in Python.mp4

07:10

16 - Unsupervised Learning Clustering Logic and Python Implementation

54 - Unsupervised Learning Logic and Use Cases.mp4

07:21

55 - K Means Clustering Logic.mp4

12:17

56 - Evaluation of Clustering.mp4

06:09

57 - Do the Scaling Before KMeans.mp4

02:52

58 - KMeans Clustering in Python.mp4

20:00

17 - You Made It

59 - Congratz.mp4

01:31

59 - telecom-churn-data-science.zip

Description

Master Machine Learning | Data Science using Python only 10 Hours with real-world practices - machine learning projects.

What You'll Learn?

You will be able to build Machine Learning models from scratch
You will have the shortest path to be a Data Scientist
You will be able to answer popular Data Scientist interview questions
You will have complete understanding of all the fundamentals about Machine Learning algorithms
You will master the python libraries for Machine Learning and Data Science
You will easily engage real-world data science and machine learning projects
You will learn all about data preprocessing and visualization
You will learn to use pandas for data analysis
You will learn to use scikit-learn for machine learning
You will learn to use numpy for data manipulation
You will learn regression, classification and clustering machine learning models
You will learn the fundamentals of data science

Who is this for?

People who are curious about Machine Learning

People who have less than 10 hours to learn about Machine Learning

What You Need to Know?

No prior Machine Learning experience needed

No prior Data Science experience needed

High school level algebra

Very basic understanding about some programming terms (what is a 'for loop', what is 'if conditions' etc.)

More details

Description
Welcome to "Stop being a beginner in Machine Learning in 2024 | Python", a comprehensive and beginner-friendly course designed to fast-track your journey into the world of data science. This course is not just about learning theories; it's about experiencing data science as it is in the real world, guided by expertise akin to that of a senior data scientist.
Every session in this course is meticulously crafted to reflect the day-to-day challenges and scenarios faced by professionals in the field. Youâ€™ll find yourself diving into the core aspects of machine learning, exploring the practical applications of Python in data analysis, and unraveling the mysteries of predictive modeling. Our approach is unique â€“ it combines detailed video tutorials with guided project work, ensuring that every concept you learn is reinforced through practical application.
As you progress through the course, you will develop a solid foundation in Python programming, essential for any aspiring data scientist. We delve deep into data manipulation and visualization, teaching you how to turn raw data into insightful, actionable information. The course also covers critical topics such as statistical analysis, machine learning algorithms, and model evaluation, providing you with a well-rounded skill set.
What sets this course apart is its emphasis on real-world application. You will engage in hands-on project work that simulates actual data science tasks. This project-based learning approach not only enhances your understanding of the subject matter but also prepares you for the realities of a data science career.
By the end of this 10-hour journey, you will have not only learned the fundamentals of data science and machine learning but also gained the confidence to apply these skills in real-world situations. This course is your first step towards becoming a proficient data scientist, equipped with the knowledge and skills that are highly sought after in today's tech-driven world.
Enroll now in "Stop being a beginner in Machine Learning in 2024 | Python" and embark on a learning adventure that will set you on the path to becoming a successful data scientist in 2024 and beyond!
Who this course is for:
People who are curious about Machine Learning
People who have less than 10 hours to learn about Machine Learning

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At Ankyra Analytics, we are dedicated to revolutionizing the landscape of online education for the IT sector. Our mission is to empower individuals with the knowledge and skills they need to excel in the fast-paced world of technology.We offer a diverse range of online courses designed to cater to both seasoned professionals and aspiring IT enthusiasts. With a focus on industry-relevant topics, our expert instructors, who are accomplished IT professionals themselves, provide practical insights and real-world experience to help learners thrive in their careers. Our engaging courses encompass the latest trends and advancements in the IT industry, ensuring you stay ahead of the curve. Whether you're looking to upskill, reskill, or embark on a new IT journey, Ankyra Analytics is here to support your aspirations.Join us on this transformative educational journey and unlock the boundless opportunities that the IT sector has to offer.

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