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Machine Learning Fundamentals 

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Machine Learning Fundamentals
 at 
Coding Blocks 
Overview

Learn to build Machine Learning Algorithms from scratch!

Duration

2 months

Total fee

1,800

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Machine Learning Fundamentals
 at 
Coding Blocks 
Highlights

  • Expert Doubt Support for 6 months
  • Capstone Projects
  • Earn a certification after completion
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Machine Learning Fundamentals
 at 
Coding Blocks 
Course details

Skills you will learn
What are the course deliverables?
  • Introduction to Machine Learning
  • Supervised Learning Algorithms
  • Unsupervised Learning
  • Deep Learning Introduction
More about this course
  • Explore a cutting-edge online Machine Learning course by Coding Blocks, featuring 200+ recorded tutorials and 20 mini projects. Our comprehensive curriculum starts with Python essentials, progresses to advanced algorithms, and delves deep into Machine Learning core concepts
  • Emphasis on live projects enables students to master classical algorithms and deep neural networks, fostering the ability to solve real-world problems. In just weeks, students transition from foundational knowledge to building intelligent systems, working with AI algorithms, and mastering data crunching. Additionally, the course provides a detailed overview of programming fundamentals and Python basics to ensure a quick and effortless grasp of Machine Learning concepts
  • Elevate your skills and embark on a transformative learning journey with our uniquely designed online Machine Learning classes
Read more

Machine Learning Fundamentals
 at 
Coding Blocks 
Curriculum

Machine Learning Introduction

Machine Learning Pipeline

Supervised Learning Introduction

Quickstart Mode

Python Libraries Quickstarter

Quickstart Python

Project - Movie Recommendation System

Movie Recommendation - 1

Movie Recommendation - 2

Linear Regression

Linear Regression

Gradient Descent Implementation

Regression Challenge - Hardwork Pays Off

Challenge - Hardwork Pays Off

Linear Regression - II Multiple Features

Linear Regression - Maths for Multiple Features

Boston Housing Dataset

Sci-kit Learn Introduction

Sklearn 01 - Generating Regression Data

Sklearn 02 - Implementation Regression Model

Faculty Icon

Machine Learning Fundamentals
 at 
Coding Blocks 
Faculty details

Prateek Narang
Currently doing his Masters in Machine Learning from IIT Delhi, Prateek is an ace programmer who has worked with SanDisk and HackerEarth in the past. He has also won prestigious hackathons including Google’s Code For India and Smart City Hackathon. A Computer Science Graduate from DTU, he is highly popular among students for his teaching methods. His interactive CV (www.prateeknarang.com) is also well known in 120+ countries.
Mohit Uniyal
Computer science graduate from Delhi University, highly skilled in Machine learning and deep learning. He has been practicing ML/DL for the last 3 years and have done various projects in the same domain. He has also won many coding competition, web development events, in tech fest across various colleges.

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Machine Learning Fundamentals
 at 
Coding Blocks 
Students Ratings & Reviews

5/5
Verified Icon1 Rating
Y
Yuvraj Chopra
Machine Learning Fundamentals
Offered by Coding Blocks
5
Learning Experience: It was good. The instructor tell us about different machine learning algorithms. Also we have done many capstone projects.
Faculty: The faculty is good. They get my doubts cleared on time. The course curriculum is good. It consists of almost everything a beginner should learn about machine learning.
Course Support: Today is the era of machine learning. To get a job in machine learning a student must possess some basics about machine learning which this course is providing.
Reviewed on 2 Jan 2023Read More
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Machine Learning Fundamentals
 at 
Coding Blocks 

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