Hands-on Machine Learning in Python & ChatGPT

سرفصل های دوره

Hands-on Machine Learning Tutorial with Pandas, Numpy, Seaborn, Scikit-learn in Python and ChatGPT: A Complete Work-flow

1. Setting Up Your Data Analysis Platform

1.1 Mac.pdf

1.2 Windows.pdf

1. Install Python and Jupyter Notebook.html

2.1 Instructions of setting up ChatGPT.pdf

2. Setting Up ChatGPT for Easy Machine Learning.html

2. What is Machine Learning

1. Machine Learning and Its Characteristics

2. Complete Machine Learning Work-flow

3.1 Practice datasets.zip

3. Practice datasets.html

4. Instructions for Quizzes IMPORTANT.html

3. Master Data Cleaning for Error-free ML Model

1. Load your dataset into Python environment

2. Handling missing values with Scikit-learn

3. Identify and deal with inconsistent data

4. Dealing with miss-identified data types

5. Address and remove duplicated data

6. QUIZ 1 Data Cleaning.html

7.1 data cleaning (solution).zip

7. Solution 1 Data Cleaning.html

4. Master Data Manipulation for Strong ML Model

1. Sorting and arranging dataset

2. Filter data based on conditions

3. Merging or adding of supplementary variables

4. Concatenating or adding of supplementary data

5. QUIZ 2 Data Manipulation.html

6.1 data manipulation (solution).zip

6. Solution 2 Data Manipulation.html

5. Master Data Preprocessing for Perfect ML Model

1. Feature engineering Generating new data

2. Extracting day, months, year from date variable

3. Feature encoding Assigning numeric values

4. Creating dummy variables for nominal data

5. Data standardizing and normalizing with StandardScaler

6. Splitting data into training and testing set

7. QUIZ 3 Data Preprocessing.html

8.1 data preprocessing (solution).zip

8. Solution 3 Data Preprocessing.html

6. Hands-on Machine Learning Application Part 1 Regression

1. Read It IMPORTANT.html

2. Linear regression ML model

3. Decision Tree regression ML model

4. Random Forest regression ML model

5. Support Vector regression ML model

6. XGBoost regression ML model

7. QUIZ 4 ML Model Application Part 1.html

8.1 ml model application part 1 (solution).zip

8. Solution 4 ML Model Application Part 1.html

7. Hands-on Machine Learning Application Part 2 Classification

1. Read It IMPORTANT.html

2. Logistic Regression ML model

3. Decision Tree classification ML model

4. Random Forest classification ML model

5. K Nearest Neighbours classification ML model

6. LightGBM classification ML model

7. QUIZ 5 ML Model Application Part 2.html

8.1 ml model application part 2 (solution).zip

8. Solution 5 ML Model Application Part 2.html

8. Hands-on Machine Learning Application Part 3 Clustering

1. KMeans Clustering ML model

2. Final QUIZ ML Model Application Part 3.html

3.1 fast-track ml in python & chatgpt (solution).zip

3. Final Solution Fast-Track ML in Python & ChatGPT.html

9. Tips, Tricks and Resources

1. ChatGPT Your best code companion

2.1 Complete ML workflow.pptx

2.2 ML.pptx

2. Course resources.html

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تولید کننده: Udemy