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Data Science | Python, Machine Learning & AI
Learn to analyze data and build predictive models using machine learning.
What you'll learn
Exploratory Data Analysis (EDA)
Supervised Learning: Regression & Classification
Unsupervised Learning: Clustering & Dimensionality Reduction
Feature Engineering & Selection
Model Evaluation & Validation Techniques
Deep Learning Basics: Neural Networks
Recurrent Neural Networks (RNNs) & LSTM
Time Series Analysis
0 - 11 Week
0 - 66 Lessons
Beginner(Data Science Basics)
Learn the fundamentals of data handling, statistics, and Python programming.
- Python Basics: Syntax
- Loops, Functions
11 - 22 Week
66 - 132 Lessons
Machine Learning & Analytics
Learn to analyze data and build predictive models using machine learning.
- Exploratory Data Analysis
- Supervised Learning
22 - 34 Week
132 - 204 Lessons
Deep Learning & Real Projects
Work on real-world datasets and advanced algorithms to gain hands-on experience.
- Convolutional Neural Networks
- Time Series Analysis