Machine Learning Course - Learn ML course Online

Description

Become an ML Engineer with Scaler's Machine Learning Course

• Study the essential Machine learning topics like Supervised Learning, Unsupervised Learning, Reinforcement Learning, and much more from scratch.
• Build your portfolio by working on real-world business projects
• Placement support + Ongoing guidance after course completion + Opportunity to interact with Machine Learning industry experts

Syllabus :

1. Introduction to Programming

•  Decision trees & control
•  Binary number system
•  Strings
•  Arithmetic operators
•  Loops

 

2. Programming - Intermediate

•  Introduction to Number systems and Bit Manipulations
•  Time Complexity Analysis
•  Arrays Techniques
•  Basic Maths for Programming
•  Sorting and Hashing Libraries
•  Recursion
•  OOPS

 

3. Statistical Analysis & Data Analytics

•  Python, Jupyter, Numpy, Pandas
•  Git, Linux Terminal, File I/O
•  Statistics, Probability, Linear Algebra
•  Distributions, Sampling, Hypothesis Testing
•  Databases, SQL, Index, Partition, Schema
•  Web API, Scraping, Automation, Flask

 

4. Machine Learning

• Recommender system
•  Bayesian Machine Learning
•  EDA, Data wrangling, Feature Engineering
•  Ensemble Learning
•  Supervised Learning
•  Unsupervised Learning
•  Predictive Modeling & Time Series Forecasting
•  Decision Trees

 

5. ML Engineering - Deep Learning & Big Data

• Reinforcement Learning, Q-learning
•  Keras, PyTorch, TensorFlow
•  Information Extraction, Entity Recognition
•  Neural Networks, NLP, Computer Vision
•  Research Papers in Deep Learning
•  Warehouse - AWS S3, HDFS, HBase, NoSQL
•  BERT, Building Chatbots
•  Analysis - Airflow, PySpark, Hive, YARN

 

6. Programming - Advanced

• Time Complexity, Arrays, Strings, Binary Search, 2 Pointers, Recursion, Hashing, Sorting, Bit manipulation
•  Stacks, Queues, Linked Lists, Trees, Tries, Heap
•  Greedy, DP, Graphs
•  DB and System Design

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