Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 17 Minute(s)
Language
English
Taught by
Shiv Onkar Deepak Kumar
Rating
5 views
Course Overview
Become Data Science (Machine Learning) professional by learning from Data Science professional
Becoming Data Science professional (Data Scientist) is a long journey and need guidance from seasoned Data Science professional (Chief Data Scientist). We are trying to manage the journey such a way that you learn right skills and in the right way. The whole concepts of the course are to make you ready for Data Science projects, mainly in Machine learning and AI projects. You will learn
1. Foundation of Machine learning
2. Supervised Machine learning - Regression
3. Supervised Machine learning - Classifications
4. Unsupervised Machine learning (Clustering, KNN, PCA)
5. Text Analytics
6. Time Series
Course Content
- 10 section(s)
- 64 lecture(s)
- Section 1 Introduction
- Section 2 Data Science - Brief Introduction
- Section 3 Foundation - Panda
- Section 4 Foundation - Numpy
- Section 5 Foundation - Descriptive Analysis
- Section 6 Regression
- Section 7 Classification
- Section 8 How to know models are good enough using Bias vs Variance
- Section 9 Clustering
- Section 10 Application of Unsupervised and Supervised Analytics
What You’ll Learn
- 1. The content (80% hands on and 20% theory) will prepare you to work independently on Data Science (AI and Machine learning) project
- 2. Foundation of Machine learning
- 3. Supervised Machine learning - Regression
- 4. Supervised Machine learning - Classifications
- 5. Unsupervised Machine learning (Clustering, KNN, PCA)
- 6. Text Analytics
- 7. Time Series
Skills covered in this course
Reviews
-
SSonali Mallick
The audio quality is not good. Lectures are OK , so far
-
KKishore Viswanadhuni
I am very happy with this course. Shiv had explained all the concepts very nicely.Thanks Shiv.
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PParthasarathi Ghoshal
Sound is not audible at all.
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VVinod Kumar
Shiv is an experienced professional with great practical knowledge on AI/ML. Very good course. Highly recommended!
