Udemy - Master Python using ChatGPT

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Udemy - Master Python using ChatGPT

Torrent Contents Size: 2 GB

Udemy - Master Python using ChatGPT
▼ show more 92 files
1. Car Price Prediction.mp4
MP4
142.9 MB
1. Course Introduction and Key Learning Outcomes.mp4
MP4
9.3 MB
1. Data Types and Variables.mp4
MP4
38.2 MB
1. Handling Missing Values.mp4
MP4
64.5 MB
1. Introduction and Installation.mp4
MP4
36 MB
1. Introduction to Machine Learning.mp4
MP4
36.7 MB
1. Introduction to Matplotlib.mp4
MP4
29.5 MB
1. Pandas Introduction and Installation.mp4
MP4
26.1 MB
1.1 Handling Missing Values (1).pptx
PPTX
620.9 KB
1.1 Introduction and key learning outcomes.pptx
PPTX
372.6 KB
1.1 Machine Learning Introduction.pptx
PPTX
506.7 KB
1.1 Matplotlib Intro and Getting started.ipynb
IPYNB
15.1 KB
1.1 Numpy Introduction and Installation.ipynb
IPYNB
1.6 KB
1.1 Pandas Intro and Installation.ipynb
IPYNB
2 KB
1.1 car data.csv
CSV
16.8 KB
1.2 Car Price Prediction.ipynb
IPYNB
41.9 KB
1.2 Missing Values.ipynb
IPYNB
14.9 KB
1.3 Car Price Prediction.pptx
PPTX
456.2 KB
1.3 Placement_Data_Full_Class.csv
CSV
19.3 KB
10. Decision Tree.mp4
MP4
73.8 MB
10.1 Decision Tree Algorithm.pptx
PPTX
463.4 KB
10.2 Decision Tree Practical.ipynb
IPYNB
6.4 KB
10.3 User_Data.csv
CSV
10.7 KB
11. Random Forest.mp4
MP4
48.4 MB
11.1 Random Forest Algorithm.pptx
PPTX
400.8 KB
11.2 Random Forest Practical.ipynb
IPYNB
6.7 KB
11.3 User_Data.csv
CSV
10.7 KB
12. K Means Clustering.mp4
MP4
66 MB
12.1 K Means Practical.ipynb
IPYNB
60.7 KB
12.2 K-Means Clustering Algorithm.pptx
PPTX
588.5 KB
12.3 Mall_Customers.csv
CSV
4.7 KB
13. Grid Search CV.mp4
MP4
74 MB
13.1 GridSearch CV.ipynb
IPYNB
5.6 KB
13.2 GridSearchCV.pptx
PPTX
487.2 KB
14. Machine Learning Pipeline.mp4
MP4
56.8 MB
14.1 Machine learning Pipeline.pptx
PPTX
415.5 KB
14.2 ML Pipeline.ipynb
IPYNB
10.5 KB
2. ChatGPT Introduction.mp4
MP4
26.4 MB
2. Create a Numpy Array.mp4
MP4
53 MB
2. Customer Segmentation.mp4
MP4
119.9 MB
2. Feature Encoding.mp4
MP4
67.7 MB
2. Series.mp4
MP4
18 MB
2. Supervised Machine Learning.mp4
MP4
27.4 MB
2. Type of Plots in Matplotlib.mp4
MP4
47.2 MB
2. User Input.mp4
MP4
12.5 MB
2.1 Creating Arrays Numpy.ipynb
IPYNB
4.5 KB
2.1 Customer Segmentation using K-means Clustering.pptx
PPTX
521.4 KB
2.1 Different types of plots in Matplotlib.ipynb
IPYNB
29.3 KB
2.1 Pandas Series.ipynb
IPYNB
1.5 KB
2.1 Supervised Machine Learning.pptx
PPTX
364.9 KB
2.1 airport.csv
CSV
47.2 KB
2.2 Customer Segmentation.ipynb
IPYNB
60.3 KB
2.2 Feature Encoding.ipynb
IPYNB
36.8 KB
2.3 Feature Encoding.pptx
PPTX
492.3 KB
2.3 Mall_Customers.csv
CSV
3.9 KB
2.4 Iris.csv
CSV
5 KB
3. ChatGPT Practical.mp4
MP4
18 MB
3. DataFrame.mp4
MP4
26.5 MB
3. Feature Scaling.mp4
MP4
56.9 MB
3. Lists.mp4
MP4
36.4 MB
3. Seaborn.mp4
MP4
63.9 MB
3. Shape and Reshape.mp4
MP4
50.1 MB
3. Unsupervised Machine Learning.mp4
MP4
22.5 MB
3. Wine Quality Prediction.mp4
MP4
95.5 MB
3.1 Feature Scaling.ipynb
IPYNB
117.3 KB
3.1 Pandas DataFrame Practical.ipynb
IPYNB
3.2 KB
3.1 Seaborn.ipynb
IPYNB
67.7 KB
3.1 Wine Quality Prediction.ipynb
IPYNB
90.3 KB
3.2 Wine Quality Prediction.pptx
PPTX
480.5 KB
3.3 winequality-red.csv
CSV
98.6 KB
4. Conditional Statements.mp4
MP4
19.7 MB
4. Indexing.mp4
MP4
35.8 MB
4. Read_CSV.mp4
MP4
18.7 MB
4. Train Test Split.mp4
MP4
14.6 MB
4.1 Array Indexing.ipynb
IPYNB
4 KB
4.1 airport.csv
CSV
47.2 KB
4.2 Read CSV.ipynb
IPYNB
17.3 KB
5. Analyze Pandas DataFrames.mp4
MP4
48.4 MB
5. Iterating.mp4
MP4
25.8 MB
5. Loops.mp4
MP4
27.8 MB
5. Regression Analysis.mp4
MP4
55.4 MB
5.1 Array Iterating Practical.ipynb
IPYNB
2.1 KB
5.1 Regression Analysis.pptx
PPTX
541 KB
5.1 airport.csv
CSV
47.2 KB
5.2 Analyzing DataFrames.ipynb
IPYNB
60.1 KB
6. Linear Regression.mp4
MP4
52.2 MB
6. Slicing.mp4
MP4
43.2 MB
6.1 Array Slicing.ipynb
IPYNB
4.3 KB
6.1 Linear Regression.ipynb
IPYNB
22 KB
6.2 Linear Regression.pptx
PPTX
360.1 KB
6.3 Salary_Data.csv
CSV
409.6 B
7. Logistic Regression.mp4
MP4
74.7 MB
7. Searching and Sorting.mp4
MP4
32.7 MB
7.1 Logistic Regression Practical.ipynb
IPYNB
25.3 KB
7.1 Searching and Sorting numpy array prac.ipynb
IPYNB
3.9 KB
7.2 Logistic Regression.pptx
PPTX
405.2 KB
7.3 User_Data.csv
CSV
10.7 KB
8. KNN.mp4
MP4
79 MB
8.1 K Nearest Neighbors(KNN).pptx
PPTX
519.8 KB
8.2 KNN Practical.ipynb
IPYNB
60.8 KB
8.3 User_Data.csv
CSV
10.7 KB
9. SVM.mp4
MP4
63.8 MB
9.1 Support Vector Machine (SVM).pptx
PPTX
554.8 KB
9.2 SVM Practical.ipynb
IPYNB
8.7 KB
9.3 User_Data.csv
CSV
10.7 KB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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