Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 40 Minute(s)
Language
English
Taught by
Jay Bhatt
Rating
5 views
Course Overview
A Complete Machine learning Bootcamp learn Numpy, Pandas, Matplotlib, Stats, Plotly , EDA , Scikit-learn and more!
Hi all Its Jay I am a data scientist by profession and Instructor by passion I have around 4 years of experience as data scientist, I started my career as analyst as gradually moved to data scientist hence I can understand what are programming prerequisites for data scientist. This course is created for absolute beginners of data science and machine learning. It covers all aspect of python languages required in data science machine learning and deep learning.
Course Content
- 10 section(s)
- 64 lecture(s)
- Section 1 Introduction to python
- Section 2 Setting up environment and jupyter notebook
- Section 3 Module -2 python Arithmetic operations
- Section 4 module 3- python basics list string dictionary
- Section 5 Numpy -Array Attributes
- Section 6 Pandas
- Section 7 Matplotlib- Introduction
- Section 8 Introduction to Data Science
- Section 9 Create simple machine learning models with sklearn
- Section 10 Flight Delay Prediction with real world data
What You’ll Learn
- Implement Machine Learning Algorithms
- Use python for Data science and Machine Learning
- Use Numpy and multidimensional array operations
- Do exploratory Data analysis with pandas profiling
- Create complex visualization with matplotlib and plotly
- Use Scikit-learn for Machine Learning Task
- Linear Regression
- Random Forest and Decision Tree
- Statistics For Data Science and Machine Learning
Skills covered in this course
Reviews
-
PPinky Dembla
for beginners this can be little tough
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YYashna Sachdev
Instructor not responding to questions in a timely manner. Still hasn't responded to some of mine that I asked weeks ago.
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RRoshni D'cruz
The best course and well explained.
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KKannan Ramalingam
The pronunciation of some of the frequently used words could be improved which were really distracting (for eg., like "Example" being pronounced as "Ejjample") while trying to follow the actual content.
