Machine Learning With Python

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Course type: Online Instructor led Course

Platform: Gotomeeting

Course ID: 43389

Course type: Online Instructor led Course

Platform: Gotomeeting

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Rama Murthy picture

About Rama Murthy

Hortonworks Certified Professional with 17 years of Training and Research experience.
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About the Course

Machine Learning with Python
This course is designed for the candidates who are looking for entry into Machine Learning and make
them comfortable in familiar algorithms with hands on exercises and Case Studies.
Prerequisites: Python, Numpy, Pandas
Machine Learning Introduction
Data Science Vs Machine Learning
Various Phases
Data Scientist and his role
Prerequisites for Data Scientist
Data Science Team
Comparison with Data Scientist/Data Engineer/ Data Analyst
Statistics Foundation
Central Tendency
Variability
Probability
Central Limit Theorem
Designing Machine Learning Applications
Steps in Machine Learning Application
Data Loading
Preprocessing
Model fit
Evaluating
Tuning
Linear Regression
Regression Concept
Model Description
Fitting LR Model with Pizza data set
Using SKLearn
Fitting LR with SKLearn
Evaluating LR Model
Fine Tune Linear Regression
Multiple LR
Case-Study: House Price Prediction
Logistic Regression
Classification Concept
Linear Regression Vs Logistic Regression
Binary Classifier
Model Description
Iris Data classification using Logistic Regression
Evaluating Logistic Regression Model
Case Study: Spam Filter
SVM ( Support Vector Machines)
Hyperplane
Classification using hyperplane
Maximal Margin Classifier
Support Vector Classifier
Support Vector Machines
Iris data classification using SVM


Evaluating SVM
Case Study: Identifying Animal in given picture
Identifying male-female in given passport size photo
KNN (K Nearest Neighbours)
Classification using distance measurements
Model
Case Study: Digit Recognition
K-Means (Clustering)
Clustering Concept
K-Means Algorithm
Case Study: Image Quantization
Conclusion
Further Proceedings
Neural Networks
Deep Learning
Recommender Systems

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