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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1.1 Mac.pdf |
1.52MB |
| 1.2 Windows.pdf |
929.75KB |
| 1. ChatGPT Your best code companion.mp4 |
60.23MB |
| 1. Feature engineering Generating new data.mp4 |
103.90MB |
| 1. Install Python and Jupyter Notebook.html |
214B |
| 1. KMeans Clustering ML model.mp4 |
127.74MB |
| 1. Load your dataset into Python environment.mp4 |
39.13MB |
| 1. Machine Learning and Its Characteristics.mp4 |
10.59MB |
| 1. Read It IMPORTANT.html |
690B |
| 1. Read It IMPORTANT.html |
334B |
| 1. Sorting and arranging dataset.mp4 |
30.89MB |
| 2.1 Complete ML workflow.pptx |
47.65KB |
| 2.1 Instructions of setting up ChatGPT.pdf |
409.15KB |
| 2.2 ML.pptx |
39.95KB |
| 2. Complete Machine Learning Work-flow.mp4 |
9.39MB |
| 2. Course resources.html |
44B |
| 2. Extracting day, months, year from date variable.mp4 |
32.44MB |
| 2. Filter data based on conditions.mp4 |
71.68MB |
| 2. Final QUIZ ML Model Application Part 3.html |
156B |
| 2. Handling missing values with Scikit-learn.mp4 |
81.08MB |
| 2. Linear regression ML model.mp4 |
115.85MB |
| 2. Logistic Regression ML model.mp4 |
139.30MB |
| 2. Setting Up ChatGPT for Easy Machine Learning.html |
190B |
| 3.1 Fast-Track ML in Python & ChatGPT (Solution).ipynb |
750.05KB |
| 3. Decision Tree classification ML model.mp4 |
77.38MB |
| 3. Decision Tree regression ML model.mp4 |
57.22MB |
| 3. Feature encoding Assigning numeric values.mp4 |
33.44MB |
| 3. Final Solution Fast-Track ML in Python & ChatGPT.html |
47B |
| 3. Identify and deal with inconsistent data.mp4 |
61.72MB |
| 3. Merging or adding of supplementary variables.mp4 |
31.12MB |
| 3. Practice datasets.html |
303B |
| 4. Concatenating or adding of supplementary data.mp4 |
31.33MB |
| 4. Creating dummy variables for nominal data.mp4 |
47.20MB |
| 4. Dealing with miss-identified data types.mp4 |
40.31MB |
| 4. Instructions for Quizzes IMPORTANT.html |
295B |
| 4. Random Forest classification ML model.mp4 |
68.67MB |
| 4. Random Forest regression ML model.mp4 |
56.57MB |
| 5. Address and remove duplicated data.mp4 |
28.24MB |
| 5. Data standardizing and normalizing with StandardScaler.mp4 |
84.57MB |
| 5. K Nearest Neighbours classification ML model.mp4 |
120.47MB |
| 5. QUIZ 2 Data Manipulation.html |
156B |
| 5. Support Vector regression ML model.mp4 |
42.72MB |
| 6.1 Data Manipulation (Solution).ipynb |
85.36KB |
| 6. LightGBM classification ML model.mp4 |
81.70MB |
| 6. QUIZ 1 Data Cleaning.html |
156B |
| 6. Solution 2 Data Manipulation.html |
71B |
| 6. Splitting data into training and testing set.mp4 |
38.75MB |
| 6. XGBoost regression ML model.mp4 |
48.11MB |
| 7.1 Data Cleaning (Solution).ipynb |
34.81KB |
| 7. QUIZ 3 Data Preprocessing.html |
156B |
| 7. QUIZ 4 ML Model Application Part 1.html |
156B |
| 7. QUIZ 5 ML Model Application Part 2.html |
156B |
| 7. Solution 1 Data Cleaning.html |
71B |
| 8.1 Data Preprocessing (Solution).ipynb |
137.99KB |
| 8.1 ML model application Part 1 (Solution).ipynb |
515.60KB |
| 8.1 ML model application Part 2 (Solution).ipynb |
695.67KB |
| 8. Solution 3 Data Preprocessing.html |
71B |
| 8. Solution 4 ML Model Application Part 1.html |
71B |
| 8. Solution 5 ML Model Application Part 2.html |
71B |
| Bonus Resources.txt |
386B |
| Get Bonus Downloads Here.url |
182B |