Machine Learning Essentials (2023)

This Machine Learning Essentials course offers a comprehensive introduction to the world of AI and ML, covering the maths behind essential algorithms and their implementation in Python. With 8+ hands-on projects, this course is designed for beginners as well as proficient programmers. Enroll today and learn logistic regression, linear regression, principal component analysis, Naive Bayes, decision trees, bagging and boosting, K-NN, K-Means, neural networks, and much more!

 

What you'll Learn

• Kick off the universe of AI and ML
• Maths of Machine Learning
• Regression and Classification Methods
• Straight and Strategic Regression
• K-Nearest Neighbors, K-Means
• Naive Bayes, Text Classification
• Decision Trees and Random Forests
• Ensemble Learning - Bagging and Boosting
• Dimensionality Reduction
• Neural Networks
• 8+ Hands on Projects

 

Prerequisites

Python Programming

Basics of Numpy, Pandas, Matplotlib

Description

Peruse to kick off the universe of Machine Learning and Computerized reasoning?

 

This involved course is intended for outright amateurs as well concerning capable developers who need kickstart Machine Learning for tackling genuine issues. You will figure out how to work with data, and train models equipped for making "insightful decisions"

Data Science has one of the most compensating position of the 21st 100 years and fortune-500 tech organizations are spending intensely on data researchers! Data Science as a profession is extremely fulfilling and offers quite possibly of the most significant compensation on the planet. Unlike different courses, which cover just library-executions this course is intended to give you a strong groundwork in Machine Learning by covering maths and execution without any preparation in Python for most measurable methods.

This comprehensive course is educated by Prateek Narang and Mohit Uniyal, who famous teachers as well as have worked in Computer programming and Data Science domains with organizations like Google. They have shown great many understudies in a few on the web and in-person courses over last 3+ years.

 

We are giving you this course to you for a portion of its unique expense! This is activity arranged course, we dig into hypothesis as well as spotlight on the down to earth viewpoints by building 8+ projects.

 

With over 170+ excellent video addresses, straightforward clarifications and complete code archive this is one of the most detailed and strong course for learning data science.

 

A portion of the points that you will learn in this course.

• Calculated Regression
• Straight Regression
• Head Part Examination
• Naive Bayes
• Decision Trees
• Bagging and Boosting
• K-NN
• K-Means
• Neural Networks

 

A portion of the ideas that you will learn in this course.

Convex Enhancement

Overfitting as opposed to Underfitting

Bias Variance Tradeoff

Performance Metrics

Data Pre-processing

Feature Engineering

Working with numeric data, pictures and textual data

Parametric versus Non-Parametric Strategies

Pursue the course and take your initial move towards turning into a machine learning engineer! See you in the course!

Who this course is for:

Developers who are interested to about Machine Learning and Fake Intellgence

Working experts who need to fabricate a lifelong in data science

Engineers who needs to get familiar with another skill and fabricate ML based projects

College and understudies who need to fortify comprehension they might interpret Machine Learning

Teachers

Mohit Uniyal

Data Researcher and Coding Minutes Teacher

• 4.3 Teacher Rating
• 2,006 Reviews
• 15,087 Students
• 4 Courses

Mohit is a Data Researcher, programming teacher and co-maker at Coding Minutes. He has trained over 20000+ understudies in Machine Learning and AI throughout the course of recent long stretches of his educating experience. His mastery lies in Python, data science, machine learning and AI, and he has won numerous rivalries. He has been doing AI-based projects throughout the previous 4 years. He additionally drives the ML and Data Science Domain of Coding Minutes.

Prateek Narang

Teacher and Entrepreneur - Google, Coding Minutes, Scaler

• 4.4 Educator Rating
• 10,442 Reviews
• 81,058 Students
• 9 Courses

Prateek is famous programming teacher and an expert programmer having worked with Google previously, right now working with Scaler and made Coding Minutes to bring excellent courses at pocket agreeable valuing. He is known for his incredibly worked on clarifications that makes everybody experience passionate feelings for programming. He has over 5+ long stretches of showing experience and has trained more than 50,000 understudies in study hall bootcamps and online course at a well known bootcamp before. His ability lies in critical thinking, calculations, cutthroat programming and machine learning. His intuitive mario style at prateeknarang continue is adored by all. Large numbers of his ex-understudies are currently working in top item organizations like Apple, Google, Amazon, PayTm, Microsoft, Flipkart, Samsung, Adobe, DE Shaw, Codenation, Arcesium and that's only the tip of the iceberg.

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4.2 course rating4 9 reviews

Minh Cong H.

Rating: 4.5 out of 52 weeks prior

MH

 

howdy, might you at some point if it's not too much trouble, make slides like the C++ courses you have previously delivered? I found the dark background shade of the slides more eye-accommodating, and I can look at them for longer timeframes. I have taken your C++ course and have become acclimated with this organization. The white background with black text isn't really great for my nearsighted eyes, and I experience issues focusing on the material. I have likewise taken a cycle of your machine learning course, however the white background utilized in that course makes my eyes tire more quickly than expected, making it hard for me to think and finish the course. I actually appreciate the great pictures utilized in your C++ course.Besides, the captions of the Coding Minutes courses are frequently mistaken, and I truly trust that you can fix them quickly. It is extremely challenging for me to learn without exact captions, I'm learning at a sluggish speed and not completely retaining the material because of the issue of erroneous subtitles.Thank to such an extent!

 

Shubham G.

Rating: 5.0 out of 5 3 weeks prior

 

Ideal beginning for amateurs.. A seriously broad scope of points covered ... Explains the working and instinct behind each... Code discussions...Community support...Great Connected explainations with genuine world for fairly troublesome themes like slope plunge, etc..Must suggest for novices. :)

 

Manya K.

Rating: 5.0 out of 5 2 months prior

 

This is simply wonderful!! It assisted me with fostering my advantage in MLI truly waited excessively lengthy for this.My semester project is most certainly profiting from the material of this course, which has made me very cheerful and fulfilled overall.The coaches of this course merit a genuine thank you. The most expected course ever is this one.

 

Smriti R.

Rating: 5.0 out of 5 2 months prior

 

it's so cool and reasonable. amazing I presume

Useful links:

• Course link: https://www.udemy.com/course/machine-learning-essentials-with-maths-in-python/
• Prateek Narang's LinkedIn profile: https://www.linkedin.com/in/prateek-narang/
• Mohit Uniyal's LinkedIn profile: https://www.linkedin.com/in/mohit-uniyal-41a7a9120/
• Python Programming tutorial: https://www.tutorialspoint.com/python/index.htm
• Numpy tutorial: https://numpy.org/doc/stable/user/quickstart.html
• Pandas tutorial: https://pandas.pydata.org/docs/user_guide/10min.html
• Matplotlib tutorial: https://matplotlib.org/stable/tutorials/index.html