Data Science.

Data Science

Foundations and Statistics

S No Topic
1 Basic Statistics, Exploratory Data Analysis (EDA)
2 Probability
3 Different Types of Distributions
4 Confidence Interval
5 Hypothesis Testing
6 Advanced Statistics

Predictive Analytics

S No Topic
1 Unsupervised Learning: (M)
2 Supervised Learning: (R)
3 Visualization and dimensionality reduction:
4 Underfitting and Overfitting Techniques:
5 Model Performance Assessment:
6 Hyperparameter Tuning
7 Ensemble Learning
8 Time Series Analysis

Neural Networks and Deep Learning

S No Topic
1 Neural Networks Foundations
2 Deep Learning
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