Data Analysis in Pandas & Scikit-learn For Machine Learning
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 6.08 GB
Genre: eLearning Video | Duration: 147 lectures (16 hour, 39 mins) | Language: English
Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatDescriptionLib, |Python.
What you'll learn
Update your resume with one of the in demand skill : Data analysis Pandas
Setting up Python in anaconda environment
Refresh Python basics with crash course
Learn Most demanded python data analysis library : Pandas
Three important data structure of pandas : Series, Data Frame, Panel
Learn how to analyse one, two and three dimensional data
How to group Data for analysis
How to deal with Text Data with Pandas Functions
Analyse data having multiple level index.
Array and Matrix manipulation Library NumPy
Master pandas with quizzes.
Data Visualization MatDescriptionlib and Seaborn Library
Importing data from various different kinds of sources
Complete Machine Learning work flow implementation with Scikit-learn
Requirements
Windows/Linux/MAC machine
Basic idea about Programming concepts
Description
JOIN OTHER 30,000 SUCCESSFUL STUDENTS WHO HAVE ALREADY ENROLLED & MASTERED PYTHON & PANDAS SKILLS (DATA ANALYSIS LIBRARY) WITH ONE OF MY BEST SELLING, TOP RATED COURSE.
Student Testimonial :
Great going, ankit is good at explanation of data processing stuff. i bought many of his course related to python and machine learning. - Jay
Every concept is clearly explained and the tutor of this course replies to every question asked in Q&A section. - Mukka Akshay
It was very good session. The instructor has enough knowledge and able to make me understand clearly. Thank you Ankit! - Bibek Baniya
This is an amazing course if you want to understand the extent of the power of Pandas. - Venkat Raj
It's one of the best course !!! Most of the topics has been covered and explained up to the expectation - Ankur SIngh
it is a good match with what i was looking for, the instructor is quite knowledgeable. - Shivi Dhir
This class is not too fast or too slow, the way he teaches is perfect. - Frankie Y
It is excellent - Rakhshee Misbah
good experience - Weiting
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Update : New section on Data visualization library MatDescriptionlib and Seaborn added.
Update : New section on Numpy Library get added.
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If you want to master most in-demand data analysis library pandas, carry on reading.
Hi, I am Ankit, one of the Best Selling author on Udemy, taught various courses on Data Science, Python, Pandas, PySpark, Model Deployment.
By the end of this course, you will able to apply all majority of Data analysis function on various different datasets with built in function available in pandas. Analysis techniques like exploratory data analysis, data transformation, data wrangling, time series data analysis, analysis through visualization and many more. Carry on reading to know more about course.
The era of Microsoft Excel is going to be over, so would you like to learn the next generation one of the most powerful data processing tool and in demand skill required for data analyst, data scientist and data engineer.
Then this course is for you, welcome to the course on data analysis with python's most powerful data processing library Pandas.
Why this course?
Data scientist is one of the hottest skill of 21st century and many organisation are switching their project from Excel to Pandas the advanced Data analysis tool .
This course is basically design to get you started with Pandas library at beginner level, covering majority of important concepts of data processing data analysis and a Pandas library and make you feel confident about data processing task with Pandas at advanced level.
What is this course?
This course covers
Basics of Pandas library
Python crash course for any of you want refresh basic concept of python
Python anaconda and Pandas installation
Detail understanding about two important data structure available in a Pandas library
Series data type
Data frame data type
How you can group the data for better analysis
How to use Pandas for text processing
How to visualize the data with Pandas inbuilt visualization tool
Multilevel index in Pandas.
Time series analysis
Numerical Python : NumPy Library
MatDescriptionlib and Seaborn for Data visualization
Machine Learning Theoretical background
Complete end to end Machine Learning Model implementation with Scikit-learn API
(from Importing Data to Splitting data, Fitting data and Evaluating Data) & How to Improve Machine Learning Model
Importing Data from various different kind of file
You will get following after enrolling in this course.
100+ HD quality video lecture
16+ hours of content
Discussion forum to resolve your query.
quizzes to to test your understanding
This course is still in a draft mode. I am still adding more and more content, quiz, projects related to data processing with different functionalities of Pandas. So stay tuned and enroll now.
Regards
Ankit Mistry
Who this course is for:
Beginner Python developer who is curious about Data Science, Not for experienced Data Scientist
Anyone who want to make career in Data Science, Data analytics
Anyone wants to learn data analysis with python language
Excel user who wants to enhance data analysis skills.
Download link:
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