Data Science Full Course in Python & ChatGPT: All in One

سرفصل های دوره

Master the Data Science Universe: A Comprehensive Hands-On Course Covering the A-Z of Data Science Workflow in Python

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 SMART Analysis.html

2. What is Data Science

1. Data Science and its characteristics

2. Data Science vs Data Analysis

3. Complete Data Science work-flow

4.1 Practice datasets.zip

4. Download datasets for practice and quizzes.html

5. Instructions for Quizzes IMPORTANT.html

3. Full Data Cleaning Process

1. Getting started loading your data into jupyter notebook

2. Impute missing values with Simple-Imputer

3. Rectify inconsistent variables and values

4. Identify and assign correct data types

5. Abolish duplicated data from the dataset

6. QUIZ 1 Full Data Cleaning.html

7.1 data cleaning (solution).zip

7. Solution 1 Full Data Cleaning.html

4. Full Data Manipulation Process

1. Sorting and arranging dataset

2. Conditional filtering (and, or, not etc.)

3. Merging dataset with extra features

4. Concatenating data with extra data

5. QUIZ 2 Full Data Manipulation.html

6.1 data manipulation (solution).zip

6. Solution 2 Full Data Manipulation.html

5. Full Exploratory Data Analysis Process

1. Understanding exploratory data analysis

2. Investigating Value Counts Analysis Technique

3. Delving into Descriptive Statistics Analysis Technique

4. Understanding Group By Analysis Method

5. Mastering Pivot Table Analysis Method

6. Unpacking Crosstabulation Analysis Method

7. Exploring Correlation Analysis Method

8. QUIZ 3 Full Exploratory Data Analysis.html

9.1 exploratory data analysis (solution).zip

9. Solution 3 Full Exploratory Data Analysis.html

6. Understanding Statistical Data Analysis Concepts

1. Various aspects of hypothesis testing

2. Understand confidence, significance level and p-value

3. Statistical data analysis and hypothesis testing

4. QUIZ 4 Understanding Statistical Data Analysis Concepts.html

7. Various Data Transformation Techniques

1. Testing normal distribution of numeric variables

2. Square root data transformation method

3. Logarithm data transformation method

4. Box-cox data transformation method

5. Yeo-Johnson data transformation method

6. QUIZ 5 Various Data Transformation Methods.html

7.1 data transformation(solution).zip

7. Solution 5 Data Transformation Methods.html

8. Hypothesis Testing (ANOVA, Pearson Correlation, Regression)

1. One way between groups ANOVA Checking the difference

2. Pearson correlation test Checking the relationship

3. Regression test Checking the influence

4. QUIZ 6 Hypothesis Testing.html

5.1 hypothesis testing (solution).zip

5. Solution 6 Hypothesis Testing.html

9. Full Data Preprocessing Process

1. Feature engineering to generate significant variable

2. Feature encoding to assign numeric values

3. Techniques to create dummy variables

4. Feature scaling for standardization and normalization

5. Splitting data into training and testing set

6. QUIZ 7 Full Data Preprocessing.html

7.1 data preprocessing (solutions).zip

7. Solution 7 Full Data Preprocessing.html

10. Supervised Machine Learning Part 1 Regression

1. Read It IMPORTANT.html

2. Getting started Linear regression ML model

3. Decision Tree regressior ML model

4. Random Forest regressor ML model

5. Support Vector regressor ML model

6. XGBoost regressor ML model

7. QUIZ 8 Supervised ML model Part 1.html

8.1 supervised ml model part 1.zip

8. Solution 8 Supervised ML model Part 1.html

11. Supervised Machine Learning Part 2 Classification

1. Getting started Logistic regression ML model

2. Decision Tree classification ML model

3. Random Forest classification ML model

4. K Nearest Neighbours classification ML model

5. LightGBM classification ML model

6. QUIZ 9 Supervised ML model Part 2.html

7.1 supervised ml model part 2.zip

7. Solution 9 Supervised ML model Part 2.html

12. Unsupervised Machine Learning Cluster Analysis

1. KMeans clustering ML model

2. DBSCAN clustering ML model

3. Final QUIZ 10 Unsupervised ML model.html

4.1 final - all & unsupervised ml model (solutions).zip

4. Final Solution 10 Complete & Unsupervised ML model.html

13. Tips, Tricks and Resources

1. Kaggle for vast practice resources & portfolio

2. ChatGPT Your Fastest Code Companion

3.1 Complete DS Process.pptx

3.2 Confidence, significance and p value.pdf

3.3 Data Science vs Data Analysis.pptx

3.4 Data Science.pptx

3.5 Steps in Hypothesis Testing.pdf

3.6 Various aspects of Hypothesis.pdf

3. Course resources.html

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تولید کننده: Udemy