ChatGPT for Data Science and Machine Learning is presented here from the verified curriculum data available for this product. The supplied structure combines theory with projects: machine-learning fundamentals and visualization lead into car-price prediction, wine-quality prediction and K-Means customer segmentation. Browse the full AI Courses Cheap catalog or the latest Courses On Budget updates for more releases.
What ChatGPT for Data Science and Machine Learning Covers
The supplied structure combines theory with projects: machine-learning fundamentals and visualization lead into car-price prediction, wine-quality prediction and K-Means customer segmentation. The strongest buying signal is the curriculum itself: you can compare the included topics with your goal before purchasing instead of relying on broad sales claims.
Key Indexed Lessons / Tracks
- 1. Introduction and Key Learning Outcomes.mp4
- 12. Random Forest.mp4
- 3. Unsupervised Machine Learning.mp4
- 8.1 Logistic Regression.pptx
- 1. Understanding the Problem Statement.mp4
- 2.2 Mall_Customers.csv
Course Fit at a Glance
| Primary focus | machine learning fundamentals, visualization and guided data-science projects with ChatGPT |
| Best suited to | learners who want to connect ChatGPT with practical data-science and machine-learning exercises |
| Delivery | Fast delivery after payment |
| Access point | ChatGPT for Data Science and Machine Learning |
| Catalog | AI Courses Cheap |
Full Verified Course Structure
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See a real lesson from this course
Unedited sample from the actual files. No login, no signup.
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The structure below preserves the supplied or verified course index. File names and sizes are kept where available. For large archives, sections are collapsed to make the product page easier to scan.
0 How to download Mega files without transfer quotas (1 items)
- 0 How to download Mega files without transfer quotas.txt (942.00 B)
1. Introduction (2 items)
- 1. Introduction and Key Learning Outcomes.mp4 (13.46 MB)
- 1.1 Introduction and key learning outcomes.pptx (372.51 KB)
2. Machine Learning Fundamentals (35 items)
- 1. Introduction to Machine Learning.mp4 (36.66 MB)
- 1.1 Machine Learning Introduction.pptx (506.69 KB)
- 10. SVM.mp4 (63.74 MB)
- 10.1 Support Vector Machine (SVM).pptx (554.79 KB)
- 10.2 User_Data.csv (10.67 KB)
- 11. Decision Tree.mp4 (73.76 MB)
- 11.1 Decision Tree Algorithm.pptx (463.37 KB)
- 11.2 User_Data.csv (10.67 KB)
- 12. Random Forest.mp4 (48.37 MB)
- 12.1 Random Forest Algorithm.pptx (400.85 KB)
- 12.2 User_Data.csv (10.67 KB)
- 13. K – Means Clustering.mp4 (66.06 MB)
- 13.1 K-Means Clustering Algorithm.pptx (588.47 KB)
- 13.2 Mall_Customers.csv (4.67 KB)
- 14. GridSearch CV.mp4 (74.02 MB)
- 14.1 GridSearchCV.pptx (487.17 KB)
- 15. Machine Learning Model Evaluation Metrics.mp4 (45.07 MB)
- 2. Supervised Machine Learning.mp4 (27.39 MB)
- 2.1 Supervised Machine Learning.pptx (364.86 KB)
- 3. Unsupervised Machine Learning.mp4 (22.56 MB)
- 3.1 Unsupervised Machine Learning.pptx (400.21 KB)
- 4. Machine Learning Life Cycle.mp4 (36.77 MB)
- 5. Train Test Split.mp4 (14.59 MB)
- 5.1 Train Test Split.pptx (443.04 KB)
- 6. Regression Analysis.mp4 (55.38 MB)
- 6.1 Regression Analysis.pptx (541.02 KB)
- 7. Linear Regression.mp4 (52.23 MB)
- 7.1 Linear Regression.pptx (360.12 KB)
- 7.2 Salary_Data.csv (454.00 B)
- 8. Logistic Regression.mp4 (74.76 MB)
- 8.1 Logistic Regression.pptx (405.18 KB)
- 8.2 User_Data.csv (10.67 KB)
- 9. KNN.mp4 (79.05 MB)
- 9.1 K Nearest Neighbors(KNN).pptx (519.80 KB)
- 9.2 User_Data.csv (10.67 KB)
3. Data Visualization (3 items)
- 1. Introduction to Matplotlib.mp4 (29.50 MB)
- 2. Different type of plots in Matplotlib.mp4 (47.17 MB)
- 3. Seaborn.mp4 (63.93 MB)
4. Introduction to ChatGPT (3 items)
- 1. Introduction to ChatGPT.mp4 (27.45 MB)
- 1.1 Introduction to ChatGPT.pptx (1.25 MB)
- 2. Introduction to ChatGPT Practical.mp4 (18.14 MB)
5. Car Price Prediction (5 items)
- 1. Understanding the Problem Statement.mp4 (9.11 MB)
- 1.1 Car Price Prediction.pptx (456.16 KB)
- 2. Coding Implementation.mp4 (137.41 MB)
- 2.1 car data.csv (16.81 KB)
- 2.2 Car Price Prediction.ipynb (41.92 KB)
6. Wine Quality Prediction (5 items)
- 1. Understanding the Problem Statement.mp4 (14.28 MB)
- 1.1 Wine Quality Prediction.pptx (480.46 KB)
- 2. Coding Implementation.mp4 (93.43 MB)
- 2.1 Wine Quality Prediction.ipynb (90.30 KB)
- 2.2 winequality-red.csv (98.58 KB)
7. Customer Segmentation using K-Means Clustering (5 items)
- 1. Understanding the Problem Statement.mp4 (13.79 MB)
- 1.1 Customer Segmentation using K-means Clustering.pptx (521.41 KB)
- 2. Coding Implementation.mp4 (116.57 MB)
- 2.1 Customer Segmentation.ipynb (60.30 KB)
- 2.2 Mall_Customers.csv (3.89 KB)
Why This Course Can Be a Strong Match
- The curriculum has a clear concentration on machine learning fundamentals, visualization and guided data-science projects with ChatGPT.
- The product includes a visible index or verified curriculum map, so buyers can inspect the learning path before purchase.
- The package is substantial, with 59 indexed items in the verified package data used for this rewrite.
- Several lessons depend on third-party tools, platforms or technical environments shown in the curriculum.
- This product is specialized rather than an all-purpose AI curriculum.
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Choose ChatGPT for Data Science and Machine Learning if the verified curriculum above matches what you want to learn now. The page is designed around the actual index rather than invented outcomes, making it easier to compare scope before checkout. Purchase through the official Courses On Budget product page for fast delivery after payment.
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