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Advance Data Analytics using Python

LIVE
30 Hours

Course offered by Sayan Mukhopadhyay

1 review

Topics:

1. OOP with Python - 2 Hr

2. ETL with Python - 1 Hr

3. Databases - MySql, MongoDB, ElsticSearch, Neo4J - 2 Hr

4. Data Processing - Pandas, Regular Expression - 1 Hr

5. Beautiful Soup & Topical Crawling - 1 Hr

6. Feature Selection - Correlation, PCA, Mutual Information - 2 Hr

7. Supervised Learning -

         Classification - Naive Bayesed, Random Forest, Support Vector Machine - 2Hr

        Regression - Least Square, Logistic,

        Semisupervised Learning, Biased Data, Categorcal Data - 2Hr

8. Unsupervised Learning - Hierarchical & K-Mean Clustering - 3 Hr

9. Deep Learnig - Backpropogation, Convolution & Recurrent - 3 Hr

10. Hadoop MapReduce - 3 Hr

11. Spark - 3 Hr

12. Data Analytics in Cloud (GCP & AWS) - 3 Hr

13. Reinforcement Learning - 2 Hr

13. Introduction to NLP 

                  - Tf-idf & Language modelling - 2 Hr

                   -POS Tagging - 1 Hr

                  - Sentiment Analysis - 1 Hr

                   - Chatbot or Dialog System - 2 Hr

                   - Translation - 2 Hr

                   - Sumarry writer - 1 Hr

14. Time Series Aanlysis - AR, MA, ARMA, ARIMA, SARIMA -4 Hr

15. High Performance Data Analytics - MPI, OpenMp, CUDA - 4 Hr

16. Introduction to computer vision

                                - object recognation, sentiment analysis, motion tracking, image search - 5 Hr

Student can take individual module. Projects are available for real Data Set. Freshers and professinals both are welcome.

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About the Trainer

Sayan Mukhopadhyay picture

5 Avg Rating

1 Reviews

11 Students

9 Courses

Sayan Mukhopadhyay

MS by Research in Computational and Data Science from IISc, Bangalore

13 Years of Experience

13+ yrs experience

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