Data Science using Python

Data Science using Python develogyinfosystems

Python Refresher topics

1
Python Refresher – Pandas, NumPy, Matplotlib, Seaborn

Exploratory Data Analysis (EDA)

1
Collecting data from different sources
2
Analyzing data
3
Data preprocessing
4
Data munging
5
Data mining
6
Data manipulation
7
Data visualization
8
Feature Selection
9
Feature Scaling
10
Dimensionality reduction

Statistics for Data Science

1
Basics of Statistics
2
Descriptive Statistics
3
Inferential Statistics
4
Qualitative vs. Quantitative Analysis
5
Hypothesis Testing
6
Data Distribution

Supervised Machine Learning

1
Introduction of Machine learning
2
Linear Regression
3
Multiple Linear Regression
4
Logistic Regression

Supervised Machine Learning

1
Introduction of Machine learning
2
Linear Regression
3
Multiple Linear Regression
4
Logistic Regression

Additional Supervised Machine Learning topics

1
Time Series Forecasting
2
Naive Bayes classifiers
3
K-NN classification
4
Support vector machines
5
Decision Trees
6
Random forest
7
Ensemble Modelling -▪ o Bagging ▪ o Boosting ▪ o Stacking

Unsupervised Learning

1
Clustering
2
Classification
3
K-Nearest Neighbours

1
Support Vector Machines
2
Decision Trees and Random forest
3
Use case and Doubt clearing session

1
Text mining
2
Social Media Analysis
3
Social Media / Twitter Sentimental analysis
4
…note sure if NLP can be covered as well..

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Lectures: 42

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