Introduction to Machine Learning and Python Data Science
Learn how to use popular Python libraries. Learn machine learning and artificial intelligence from scratch.
Learn how to use popular Python libraries:
- NumPy - fundamental package for scientific computing in Python
- Matplotlib's Pyplot - data visualization with plots, graphs and charts
- Pandas - fast, powerful, flexible and easy to use data analysis and manipulation tool
Learn machine learning and artificial intelligence from scratch.
- Learn how machine learning can solve problems in all disciplines.
- Learn how to build a machine learning program.
Join 1.5 million+ students in high-quality courses featured at Harvard
- Lifetime access that never expires
- Project-based curriculum to superboost your portfolio
- Graduation certificate for every course
- Absolute beginner-friendly
- All source files provided
Student Reviews from the Community
Captivating voice, easy to follow at a rapid pace, get some paper and fasten your seat-belts. I'm enjoying every second of this.
— Philip Murray
Great learning experience! Thanks a lot for explaining each and every concept step by step and very clearly. Indeed, I appreciate the way of teaching.
— Sumeet Varma
Your Instructor
Nimish Narang is Mammoth Interactive's lead developer specializing in Python, iOS and Android. Primarily a coder, he also is an avid trader.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 11 years, Mammoth Interactive has built a global student community with 1.1 million courses sold. Mammoth Interactive has released over 250 courses and 2,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Preview00. Course Intro (5:11)
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Preview01. Intro to Numpy (6:20)
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Start02. Installing Numpy (3:59)
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Start03. Creating Numpy Arrays (16:55)
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Start04. Creating Numpy Matrices (11:57)
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Start05. Getting and Setting Numpy Elements (16:59)
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Start06. Arithmetic Operations on Numpy Arrays (11:56)
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Start07. Numpy Functions Part 1 (19:13)
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Start08. Numpy Functions Part 2 (12:36)
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Start09. Summary and Outro (3:01)
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StartPyplot Code
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Preview00. Course Intro (5:30)
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Preview01. Intro to Pyplot (5:10)
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Start02. Installing Matplotlib (5:51)
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Start03. Basic Line Plot (7:53)
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Start04. Customizing Graphs (10:47)
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Start05. Plotting Multiple Datasets (8:10)
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Start06. Bar Chart (6:26)
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Start07. Pie Chart (9:13)
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Start08. Histogram (10:14)
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Start09. 3D Plotting (6:28)
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Start10. Course Outro (4:09)
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StartSource Files
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Preview00. Panda Course Introduction (5:43)
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Preview01. Intro To Pandas (7:55)
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Start02. Installing Pandas (5:28)
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Start03. Creating Pandas Series (20:34)
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Start04. Date Ranges (11:29)
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Start05. Getting Elements From Series (19:20)
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Start06. Getting Properties Of Series (13:04)
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Start07. Modifying Series (19:01)
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Start08. Operations On Series (11:48)
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Start09. Creating Pandas Dataframes (22:57)
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Start10. Getting Elements From Dataframes (25:12)
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Start11. Getting Properties From Dataframes (17:44)
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Start12. Dataframe Modification (36:24)
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Start13. Dataframe Operations (20:09)
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Start14 Dataframe Comparisons And Iteration (15:35)
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Start15. Reading Csvs (12:00)
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Start16.summary And Outro (4:14)