Advanced
Machine Learning
Bridge the gap between data and intelligent action. This program provides an intensive deep-dive into the ML process, from Python & OOPS foundations to complex Inferential Statistics, Supervised Learning algorithms, and Unsupervised Dimentionality Reduction.
Duration
7-8 Weeks
Level
Professional
Accreditation
ISO Verified
Format
Online
Preparation
Mock Interviews
Career Tool
Resume Building
Data-Driven Curriculum
Phase 01: Python Ecosystem & OOPS
Python data structures (Lists, Dicts, Sets), string operations, and object-oriented programming fundamentals essential for scaling ML models.
Phase 02: Statistical Inference & Hypothesis Testing
Descriptive statistics, Z-Scores, T-Tests, Chi-Square, and ANOVA. Applied case studies using house pricing and loan datasets for real-world context.
Phase 03: Data Engineering & Visualization
Mastering NumPy, Pandas (Dataframes, Merging, Sorting), Matplotlib, and Seaborn. Advanced feature selection and NLP text data preparation techniques.
Phase 04: Supervised & Unsupervised Learning
Logistic Regression, Random Forests, AdaBoost, KNN, SVM with NLP, and K-Means clustering. Final Capstone Project: House Price Prediction Regression.