Fast-Track Machine Learning in Python and ChatGPT --> [ DevCourseWeb ]

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Torrent File Content (61 files)

[ DevCourseWeb.com ] Udemy - Fast-Track Machine Learning in Python and ChatGPT
Get Bonus Downloads Here.url -

182 bytes

~Get Your Files Here !
1. Setting Up Your Data Analysis Platform/1. Install Python and Jupyter Notebook.html -

214 bytes

1. Setting Up Your Data Analysis Platform/1.1 Mac.pdf -

1.52 MB

1. Setting Up Your Data Analysis Platform/1.2 Windows.pdf -

929.75 KB

1. Setting Up Your Data Analysis Platform/2. Setting Up ChatGPT for Easy Machine Learning.html -

190 bytes

1. Setting Up Your Data Analysis Platform/2.1 Instructions of setting up ChatGPT.pdf -

409.15 KB

2. What is Machine Learning/1. Machine Learning and Its Characteristics.mp4 -

10.59 MB

2. What is Machine Learning/2. Complete Machine Learning Work-flow.mp4 -

9.39 MB

2. What is Machine Learning/3. Practice datasets.html -

303 bytes

2. What is Machine Learning/4. Instructions for Quizzes IMPORTANT.html -

295 bytes

3. Master Data Cleaning for Error-free ML Model/1. Load your dataset into Python environment.mp4 -

39.13 MB

3. Master Data Cleaning for Error-free ML Model/2. Handling missing values with Scikit-learn.mp4 -

81.08 MB

3. Master Data Cleaning for Error-free ML Model/3. Identify and deal with inconsistent data.mp4 -

61.72 MB

3. Master Data Cleaning for Error-free ML Model/4. Dealing with miss-identified data types.mp4 -

40.31 MB

3. Master Data Cleaning for Error-free ML Model/5. Address and remove duplicated data.mp4 -

28.24 MB

3. Master Data Cleaning for Error-free ML Model/6. QUIZ 1 Data Cleaning.html -

156 bytes

3. Master Data Cleaning for Error-free ML Model/7. Solution 1 Data Cleaning.html -

71 bytes

3. Master Data Cleaning for Error-free ML Model/7.1 Data Cleaning (Solution).ipynb -

34.81 KB

4. Master Data Manipulation for Strong ML Model/1. Sorting and arranging dataset.mp4 -

30.89 MB

4. Master Data Manipulation for Strong ML Model/2. Filter data based on conditions.mp4 -

71.68 MB

4. Master Data Manipulation for Strong ML Model/3. Merging or adding of supplementary variables.mp4 -

31.12 MB

4. Master Data Manipulation for Strong ML Model/4. Concatenating or adding of supplementary data.mp4 -

31.33 MB

4. Master Data Manipulation for Strong ML Model/5. QUIZ 2 Data Manipulation.html -

156 bytes

4. Master Data Manipulation for Strong ML Model/6. Solution 2 Data Manipulation.html -

71 bytes

4. Master Data Manipulation for Strong ML Model/6.1 Data Manipulation (Solution).ipynb -

85.36 KB

5. Master Data Preprocessing for Perfect ML Model/1. Feature engineering Generating new data.mp4 -

103.9 MB

5. Master Data Preprocessing for Perfect ML Model/2. Extracting day, months, year from date variable.mp4 -

32.44 MB

5. Master Data Preprocessing for Perfect ML Model/3. Feature encoding Assigning numeric values.mp4 -

33.44 MB

5. Master Data Preprocessing for Perfect ML Model/4. Creating dummy variables for nominal data.mp4 -

47.2 MB

5. Master Data Preprocessing for Perfect ML Model/5. Data standardizing and normalizing with StandardScaler.mp4 -

84.57 MB

5. Master Data Preprocessing for Perfect ML Model/6. Splitting data into training and testing set.mp4 -

38.75 MB

5. Master Data Preprocessing for Perfect ML Model/7. QUIZ 3 Data Preprocessing.html -

156 bytes

5. Master Data Preprocessing for Perfect ML Model/8. Solution 3 Data Preprocessing.html -

71 bytes

5. Master Data Preprocessing for Perfect ML Model/8.1 Data Preprocessing (Solution).ipynb -

137.99 KB

6. Hands-on Machine Learning Application Part 1 Regression/1. Read It IMPORTANT.html -

690 bytes

6. Hands-on Machine Learning Application Part 1 Regression/2. Linear regression ML model.mp4 -

115.85 MB

6. Hands-on Machine Learning Application Part 1 Regression/3. Decision Tree regression ML model.mp4 -

57.22 MB

6. Hands-on Machine Learning Application Part 1 Regression/4. Random Forest regression ML model.mp4 -

56.57 MB

6. Hands-on Machine Learning Application Part 1 Regression/5. Support Vector regression ML model.mp4 -

42.72 MB

6. Hands-on Machine Learning Application Part 1 Regression/6. XGBoost regression ML model.mp4 -

48.11 MB

6. Hands-on Machine Learning Application Part 1 Regression/7. QUIZ 4 ML Model Application Part 1.html -

156 bytes

6. Hands-on Machine Learning Application Part 1 Regression/8. Solution 4 ML Model Application Part 1.html -

71 bytes

6. Hands-on Machine Learning Application Part 1 Regression/8.1 ML model application Part 1 (Solution).ipynb -

515.6 KB

7. Hands-on Machine Learning Application Part 2 Classification/1. Read It IMPORTANT.html -

334 bytes

7. Hands-on Machine Learning Application Part 2 Classification/2. Logistic Regression ML model.mp4 -

139.3 MB

7. Hands-on Machine Learning Application Part 2 Classification/3. Decision Tree classification ML model.mp4 -

77.38 MB

7. Hands-on Machine Learning Application Part 2 Classification/4. Random Forest classification ML model.mp4 -

68.67 MB

7. Hands-on Machine Learning Application Part 2 Classification/5. K Nearest Neighbours classification ML model.mp4 -

120.47 MB

7. Hands-on Machine Learning Application Part 2 Classification/6. LightGBM classification ML model.mp4 -

81.7 MB

7. Hands-on Machine Learning Application Part 2 Classification/7. QUIZ 5 ML Model Application Part 2.html -

156 bytes

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