Learn Machine Learning in 21 Days

Focused View

Code Warriors,Mayank Bajaj,Gaurav Sharma,Anup Mor

4:36:54

5 View

1. Introduction

1.1 Day 1.pptx

1. What is ML Application & Types of ML.mp4

12:27

2. Data Preprocessing Techniques

1. What is NumPy.mp4

09:53

2.1 Day 3.pptx

2. Data Manipulation with Pandas.mp4

15:07

3. Regression

1.1 Day 4.pptx

1. Simple Linear Regression.mp4

07:00

2.1 Day 5.pptx

2. Multiple Linear Regression.mp4

09:42

3.1 Day 6.pptx

3. Polynomial Regression.mp4

11:20

4.1 Day 7 (1).pptx

4. Support Vector Regression(SVR).mp4

13:59

5.1 Day 8.pptx

5. Decision Tree Regression.mp4

09:43

6.1 Day 9.pptx

6. Random Forest Regression.mp4

11:33

7.1 car price prediction.zip

7. Regression Mini Project.mp4

49:34

4. Classification

1.1 Day 11.pptx

1. Logistic Regression.mp4

11:50

2.1 Day 12.pptx

2. K-Nearest Neighbour.mp4

10:21

3.1 Day 13.pptx

3. Support Vector Machine (SVM).mp4

09:46

4. Kernel SVM.mp4

15:21

5.1 Day 15.pptx

5. Naive Bayes Classification.mp4

10:22

6.1 Day 16.pptx

6. Decision Tree Classification.mp4

06:00

7.1 Day 17.pptx

7. Random Forest Classification.mp4

03:30

8. Classification Mini Project.mp4

24:19

5. Problems With ML

1.1 Day 19.pptx

1. Underfitting and Overfitting.mp4

05:48

6. Model Selection

1.1 Day 20.pptx

1. Cross Validation And Grid Search.mp4

07:54

7. Model Deployment

1. ML Model With Deployment.mp4

21:25

Description

Learn to create Machine Learning Algorithms in Python Data Science enthusiasts. Code templates included.

What You'll Learn?

Master Machine Learning on Python
Make accurate predictions
Make robust Machine Learning models
Use Machine Learning for personal purpose
Have a great intuition of many Machine Learning models
Know which Machine Learning model to choose for each type of problem
Use SciKit-Learn for Machine Learning Tasks
Make predictions using linear regression, polynomial regression, and multiple regression
Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, etc.

Who is this for?

Anyone interested in Machine Learning.

Students who have at least high school knowledge in math and who want to start learning Machine Learning.

Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.

Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.

Any students in college who want to start a career in Data Science.

Any people who want to create added value to their business by using powerful Machine Learning tools.

What You Need to Know?

Some basic python programming experience.

Basic understanding of python libraries like numpy, pasdas and matplotlib.(Optional)

Some high school mathematics.

More details

Description
Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by Code Warriors the ML Enthusiasts so that we can share our knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way:
You can do a lot in 21 Days. Actually, itâ€™s the perfect number of days required to adopt a new habit!
What you'll learn:-
1.Machine Learning Overview
2.Regression Algorithms on the real-time dataset
3.Regression Miniproject
4.Classification Algorithms on the real-time dataset
5.Classification Miniproject
6.Model Fine-Tuning
7.Deployment of the ML model
Who this course is for:
Anyone interested in Machine Learning.
Students who have at least high school knowledge in math and who want to start learning Machine Learning.
Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
Any students in college who want to start a career in Data Science.
Any people who want to create added value to their business by using powerful Machine Learning tools.

User Reviews

Rating

average 0

Total votes0

Focused display

Machine Learning

Code Warriors

Instructor's Courses

Hi, We are Code Warriors an E learning organisation . This is our Udemy Handle where we will provide you some awesome courses with very basic price. The courses will be very much informative and you will enjoy a lot. We focus on your learning in an enjoying manner so you don't get bored.

Mayank Bajaj

Instructor's Courses

I am an aspiring data scientist who enjoys connecting the dots: be it ideas from different disciplines, people from different teams, or applications from different industries. I have strong technical skills and an academic background in engineering, statistics, and machine learning.Interested in finding valuable insights from the data, Passionate about implementing Data Science techniques and expand the domain of my knowledge base.I also like organizing events such as workshops, Hackathons, and webinars and had founded Code Warriors for the same purpose.My passion lies in solving business problems with tailored data and algorithms and communicating complex ideas to non-technical stakeholders. I am able to jump across verticals to deliver high-performing AI solutions.An ambitious individual with a desire to succeed. A Machine Learning enthusiast with an additional knack in Web Development. A confident public speaker possessing intermediate leadership qualities. A Cricket fanatic. A student who like to take risks and does not shy away from experimenting various combinations in life. Striving to the best of the lot. Wish me good luck ??Proficient: Python (scikit-learn, NumPy, nltk, pandas), TensorFlow, KerasFamiliar: NLP (Natural Language Processing)

Gaurav Sharma

Instructor's Courses

Hi, I'm Gaurav Sharma, I'm a Deep Learning and Crypto Enthusiast whose vision is to keep contributing to the community. I'm a confident speaker and always ready to spread knowledge and information to others. Interested in Graphic Designing, delivering designs with creativity and innovation since the beginning.I also love organizing events such as workshops, Hackathons, and webinars and had founded Code Warriors for the same purpose.Proficient: Python (SciKit-learn, NumPy, Matplotlib, Pandas), TensorFlow, KerasFamiliar : Computer Vision

Anup Mor

Instructor's Courses

Hi, my name is Anup Mor, I am a very passionate person and do everything with equal and high energy. I am curious by nature and try to learn at least one new thing every day. I like facing new challenges because they are the best teacher. I try to surround myself with great minds as they teach a lot.Experienced in JavaScript and React JS. Passionate about learning and applying my knowledge to solve real-world problems.Tech Stack, I have Worked on:- JavaScript - CSS & HTML- React JS- GraphQL- Redux- Angular- NextJS- Web 3.0- Python

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.