Udemy - Fast-Track Machine Learning in Python and ChatGPT

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Udemy - Fast-Track Machine Learning in Python and ChatGPT

Torrent Contents Size: 1.7 GB

Udemy - Fast-Track Machine Learning in Python and ChatGPT
▼ show more 46 files
1. ChatGPT Your best code companion.mp4
MP4
60.2 MB
1. Feature engineering Generating new data.mp4
MP4
103.9 MB
1. Install Python and Jupyter Notebook.html
HTML
204.8 B
1. KMeans Clustering ML model.mp4
MP4
127.7 MB
1. Load your dataset into Python environment.mp4
MP4
39.1 MB
1. Machine Learning and Its Characteristics.mp4
MP4
10.6 MB
1. Read It IMPORTANT.html
HTML
307.2 B
1. Sorting and arranging dataset.mp4
MP4
30.9 MB
1.1 Mac.pdf
PDF
1.5 MB
1.2 Windows.pdf
PDF
929.7 KB
2. Complete Machine Learning Work-flow.mp4
MP4
9.4 MB
2. Course resources.html
HTML
0 B
2. Extracting day, months, year from date variable.mp4
MP4
32.4 MB
2. Filter data based on conditions.mp4
MP4
71.7 MB
2. Final QUIZ ML Model Application Part 3.html
HTML
204.8 B
2. Handling missing values with Scikit-learn.mp4
MP4
81.1 MB
2. Linear regression ML model.mp4
MP4
115.9 MB
2. Logistic Regression ML model.mp4
MP4
139.3 MB
2. Setting Up ChatGPT for Easy Machine Learning.html
HTML
204.8 B
2.1 Complete ML workflow.pptx
PPTX
47.6 KB
2.1 Instructions of setting up ChatGPT.pdf
PDF
409.1 KB
2.2 ML.pptx
PPTX
39.9 KB
3. Decision Tree classification ML model.mp4
MP4
77.4 MB
3. Decision Tree regression ML model.mp4
MP4
57.2 MB
3. Feature encoding Assigning numeric values.mp4
MP4
33.4 MB
3. Final Solution Fast-Track ML in Python & ChatGPT.html
HTML
0 B
3. Identify and deal with inconsistent data.mp4
MP4
61.7 MB
3. Merging or adding of supplementary variables.mp4
MP4
31.1 MB
3. Practice datasets.html
HTML
307.2 B
3.1 Fast-Track ML in Python & ChatGPT (Solution).ipynb
IPYNB
750.1 KB
4. Concatenating or adding of supplementary data.mp4
MP4
31.3 MB
4. Creating dummy variables for nominal data.mp4
MP4
47.2 MB
4. Dealing with miss-identified data types.mp4
MP4
40.3 MB
4. Instructions for Quizzes IMPORTANT.html
HTML
307.2 B
4. Random Forest classification ML model.mp4
MP4
68.7 MB
4. Random Forest regression ML model.mp4
MP4
56.6 MB
5. Address and remove duplicated data.mp4
MP4
28.2 MB
5. Data standardizing and normalizing with StandardScaler.mp4
MP4
84.6 MB
5. K Nearest Neighbours classification ML model.mp4
MP4
120.5 MB
5. QUIZ 2 Data Manipulation.html
HTML
204.8 B
5. Support Vector regression ML model.mp4
MP4
42.7 MB
6. LightGBM classification ML model.mp4
MP4
81.7 MB
6. QUIZ 1 Data Cleaning.html
HTML
204.8 B
6. Solution 2 Data Manipulation.html
HTML
102.4 B
6. Splitting data into training and testing set.mp4
MP4
38.7 MB
6. XGBoost regression ML model.mp4
MP4
48.1 MB
6.1 Data Manipulation (Solution).ipynb
IPYNB
85.4 KB
7. QUIZ 3 Data Preprocessing.html
HTML
204.8 B
7. QUIZ 4 ML Model Application Part 1.html
HTML
204.8 B
7. QUIZ 5 ML Model Application Part 2.html
HTML
204.8 B
7. Solution 1 Data Cleaning.html
HTML
102.4 B
7.1 Data Cleaning (Solution).ipynb
IPYNB
34.8 KB
8. Solution 3 Data Preprocessing.html
HTML
102.4 B
8. Solution 4 ML Model Application Part 1.html
HTML
102.4 B
8. Solution 5 ML Model Application Part 2.html
HTML
102.4 B
8.1 Data Preprocessing (Solution).ipynb
IPYNB
138 KB
8.1 ML model application Part 1 (Solution).ipynb
IPYNB
515.6 KB
8.1 ML model application Part 2 (Solution).ipynb
IPYNB
695.7 KB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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