Python with Data Science and Machine Learning

Python

• Install python on windows
• Variables in python
• Numbers
• Strings
• Lists
• Install PyCharm on Windows
• Debug Python code using PyCharm
• If Statement
• For loop
• Functions
• Dictionaries and Tuples
• Install Python Module (using pip)
• Modules
• Working With JSON
• if __name__ == "__main__"
• Exception Handling
• Class and Objects
• What is Jupyter Notebook?
• What is Anaconda?

What is Data Science?

• Data Science Roadmap
• Business Math & Statistics Using Excel For Data Analysts and Data Scientists

SQL

NumPy

• Numpy Introduction and Basic Operations
• Numpy Functions Tutorial np.ones, np.zeros, np.empty
• Numpy Functions - np.arange(), np.flatten(), np.ravel()
• Numpy Array Slicing Operations
• Numpy Mathematical Operations
• Numpy Trigonometric Operations
• Numpy Random Operations
• Numpy String Operations

Python Pandas

• What is Pandas python?
• Introduction and Installation
• Dataframe Basics
• Different Ways of Creating DataFrame
• Read Write Excel CSV File
• Handle Missing Data: fillna, dropna, interpolate
• Handle Missing Data: replace function
• Group By (Split Apply Combine)
• Concat Dataframes

Matplotlib

• Introduction and Installation
• format strings in plot function
• Axes labels, Legend, Grid
• Bar Chart
• Histograms
• Pie Chart

Seaborn

• Line Plot in Seaborn
• Dist Plot
• Scatter Plot
• Bar Plot
• Heatmaps in Seaborn

Machine Learning

• What is Machine Learning?
• Linear Regression Single Variable
• Linear Regression Multiple Variables
• Gradient Descent and Cost Function
• Save Model Using Joblib And Pickle
• Dummy Variables & One Hot Encoding
• Training and Testing Data
• Logistic Regression (Binary Classification)
• Logistic Regression (Multiclass Classification)
• Decision Tree
• Support Vector Machine (SVM)
• Random Forest
• K Fold Cross Validation
• K Means Clustering Algorithm
• Naive Bayes Classifier Algorithm
• Hyper parameter Tuning (GridSearchCV)
• L1 and L2 Regularization | Lasso, Ridge Regression