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Data & AIIntermediate

Data Science & Machine Learning

Python, Pandas, Scikit-learn & Deep Learning

Master data science from scratch — data wrangling, visualization, machine learning, and deep learning — using Python, Pandas, Scikit-learn, TensorFlow, and real-world datasets.

10 Weeks75 Hours1,920 enrolled4.8 (398 reviews)
16,99927,99939% OFF

Limited time offer — enroll today!

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Live + recorded sessions
Certificate of completion
Placement assistance
Max 20 students per batch

Learning Outcomes

What You'll Learn

Perform end-to-end data analysis and visualization
Build and evaluate supervised and unsupervised ML models
Implement deep learning with TensorFlow and Keras
Work with real-world datasets and Kaggle competitions
Deploy ML models as REST APIs

Before You Start

Prerequisites

Basic Python programming
High school level mathematics
No prior ML experience required

Course Content

Curriculum

6 modules · 75 Hours of content

  • NumPy & Pandas
  • Data Cleaning & Wrangling
  • Matplotlib & Seaborn

Your Trainer

Meet the Instructor

A

Amit Verma

Lead Data Scientist

9 years of industry experience

9 years in data science across healthcare, finance, and e-commerce. Published researcher in ML applications.

PythonMachine LearningDeep LearningData Science

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