| Duration | 2 Weeks | |
|---|---|---|
| Batch Dates | Batch 1: April 25th to May 8th | |
| Batch 2: May 9th to May 22nd | ||
| Batch 3: May 23rd to June 5th | ||
| Mode | Online / Offline | |
| Timinings | 10:00 Am to 12:00 PM | |
| Trainer | 2+ Years of Experience
SME - AI / ML at Edunet Foundation Ex-Trainer at Edureka |
|
Highlights
Python first-week topics:
- What is Data Science
- Applications of Data Science
Python
- History of python
- Strings
- List
- Tuples
- Sets
- Dict
- Loops and functions
- Pandas, matplot and seaborn
Statistics
- Mean, median, mode
- Hypothesis, Central limit
- Discrete data and continuous data
- EDA project
Python 2nd-week topics:
Machine Learning
- What is machine learning
- How will learn machines
- Types of machine learning
- Names of machine learning algorithms
- Complete Linear regression algorithms
- Knn regression and Classification Overview
- One machine learning project
- Deep learning overview
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