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IPL Winner Prediction Using Machine Learning Techniques

Name: IPL Winner Prediction using Machine Learning
Rating: 4.39 (104 reviews)

IPL Winner Prediction using Machine Learning

4.39 Beginner level 1.5 learning hrs 2.5K+ Learners

Instructor:

Mr. Bharani Akella

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Skills you will gain

Hands-on of IPL dataset

Key Highlights

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About this course

In this course, IPL dataset is taken to analyze the metrics of different teams in IPL. Libraries such as pandas, matplotlib, and seaborn are used to perform exploratory data analysis on top of this IPL data. Finally, some machine learning algorithms are implemented to predict which team has a better likelihood of winning the tournament.

Stand out with an industry-recognized certificate

Start learning

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Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

Python Pandas

Python Matplotlib

Python NumPy

IPL Dataset

Predicting IPL Winner

Get access to the complete curriculum once you enroll in the course

View Full Course

IPL Winner Prediction using Machine Learning

4.39

1.5 Hours

Beginner

2.5K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.39

★★★★

★ ☆

★

67%

★

☆

21%

★

☆

★

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A A KHATANA

5.0

★★★★ ★

India

“IPL Winner Prediction using Machine Learning”

A good use case of IPL Winner Prediction using Machine Learning.

Himanshu Kaushik

4.0

★★★ ★ ☆

India

“IPL Winner Prediction using Machine Learning”

IPL Winner Prediction using Machine Learning IPL Winner Prediction using Machine Learning

KONGKHAM SHARAT SINGH

5.0

★★★★ ★

India

“IPL Winner Prediction using Machine Learning”

IPL Winner Prediction using Machine Learning this course is really great

umair javaid

5.0

★★★★ ★

United States

“good and nice best best for courese nice”

good and nice best best for courese nicegood and nice best best for courese nice

Jwalant Dhanasekar

5.0

★★★★ ★

“Interesting and good teaching ways with real life context.”

IPL was good example to use. Instructor was very good with speaking skills to explain the course

Shawn Chia

5.0

★★★★ ★

Singapore

“Feedback on this particular course module”

Feedback on this particular course module is interesting.

Syeda Maria Azfar

5.0

★★★★ ★

“In Depth Explanation of ML Libraries”

topic depth, skills and tools, beginner-level concepts clear

Oleg Evdokimov

5.0

★★★★ ★

“Great! Great! Great! Great! Great! Great!”

Great! Great! Great! Great! Great! Great!Great! Great! Great! Great! Great! Great!

Jayanth Chinthala

5.0

★★★★ ★

India

“It was an excellent introduction course ”

I am dedicated to learn more and do projects and it was an excellent course

Asif Khan

5.0

★★★★ ★

“Very Good Course and Easy to follow.”

This course was too damn good, especially the instructor's ability to teach in-depth concept

Our course instructor

Mr. Bharani Akella

Data Scientist

Machine Learning Expert

5.1M+ Learners

125 Courses

Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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