Data Science (Free)

0(0 Ratings)

About Course

Data science, machine learning and artificiial intelligence are changing the world. The job prospects are great with fat payments and salaries. We offer to make you ready for that coveted path to success. This course covers theory of machine learning, practial case studies, hands-on coding in Python, best practices and a lot of resources. This is the free material where we cover concepts of machine learning, supervised regression problems, supervised classification problems, unsupervised clustering problems, unsupervised dimensionality reductions problems. We also have introduction to deep learning. Python code is available for all the algorithms.

Master Machine Learning on Python and R
Generate understanding of Machine Learning models
Get understanding of data analysis, data cleaning, pre-processing, exploratory data analysis and generating insights
Make accurate analysis and predictions on the future
Create strong value for your business
Add very strong points to your CV
Use Machine Learning for personal purpose
Learn regression analysis, classification, dimensionality reduction, clustering, deep learning
Learn to assess machine learning models
Know which Machine Learning model to choose for each type of problem
Build an army of powerful Machine Learning models and know how to deploy them in real world and finally how to refresh them

Course Curriculum

Introduction to Data Science and Machine Leaning
What is the difference between DS, ML, DE, AI How to make a career in DS What skills are required What is the career path

Introduction to Data Science and Machine Leaning

45:26

Supervised learning
What is supervised learning, various algorithms and different use cases. Python code will be supplied

Unsupervised learning
What is unsupervised learning. Various algorithms and different use cases. Python code will be supplied

Deep learning
Deep learning and neural networks. Concepts, activation functions. Optimization methods and Python implementation.

Student Ratings & Reviews

No Review Yet

Free

Free access this course

Level

All Levels
Total Enrolled

4
Last Updated

June 20, 2023

Anyone interested in understanding how Machine Learning is used for Data Science. Including business leaders, managers, app developers, consumers - you!
If you are interested in Data Science, Machine Learning and Artifiicial Intelligence
If you are a student and wish to make a career in data science
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.
If you are not that confident in coding but are interested in Machine Learning and want to apply it easily on datasets.
If you are not satisfied with your current job and want to switch to become a data scientist
If you are a senior leader and wish to upgrade yourself to machine leanning and artificial intelligence
Any people who want to create added value to their business by using powerful Machine Learning tools.

What is covered in the course?

Data analysis, data engineering, business intelligence, data science, machine learning and artificial intelligence and path ahead, make a career in data science

Basics of Python, using the common libraries like numpy, pandas, matplotlib, seaborn, and using the datasets, common visualizations

Statistical concepts, hyphothesis testing, power analysis, type 1 and type 2 errors, ANOVA

Simple linear regression, multiple linear regression, decision tree, random forest

Logistic regression, decision tree, random forest, SVM, kNN

kmeans clustering, hierarchical clustering

Principal component analysis, SVD