Location:Main Road, Bangalore


Learning Path Python Advanced Machine Learning With Python




Python and Machine Learning Software Training


Job Aspirants


Online and Offline Classes


Week Days and Week Ends

Duration :

1.5  hrs in weekdays and 3hrs during Weekend

Python and Machine Learning Objectives

•Understand the concepts in Python and Machine Learning
•Work with standard programming skills in Python and Machine Learning.
•Learn Everything you need to know about Python and Machine Learning!
•Learn a few useful and important topics in Python and Machine Learning.
•Learn Python and Machine Learning from Scratch with Demos and Practical examples.
•Learn all the relevant skills needed to use Python and Machine Learning efficiently
•Students will learn the core concept of making Real Life Project
•In This Course u Will Learn How To Develop Apps using Python and Machine Learning
•Learn from two Python and Machine Learning experts and take your flow skills to the next level.

learning path python advanced machine learning with python Course Highlights

•Real-world skills + project portfolio
•Resume & Interviews Preparation Support
•Accessibility of adequate training resources
•Immersive hands-on training on Python Programming
•Interview guidance and preparation study materials.
•Courseware includes reference material to maximize learning.
•We also provide Normal Track, Fast Track and Weekend Batches also for Working Professionals
•Very in depth course material with Real Time Scenarios for each topic with its Solutions for Online Trainings.

Who are eligible for Python and Machine Learning

•CNC Engineer, Software Developer, Testing Engineer, Implementation, Core Java, Struts, hibernate, Asp.net, c#, SQL Server, CNC Programming, backEmbedded Technologies, Semiconductor Technologies, Web Services, Database Services, Cloud Computing, Industrial Automation, Ecommerce, Datbase Architect
•Java, Cc++ Developers, .Net Developers, Python Developers, Php Developers, Qa Test Engineers, Sharepoint Developers Veritas Engineers.
•Sap, Process Executive, Hadoop Developer, Hadoop Architect, Sap Srm/snc Testing, Sap Pp / Qm Testing, Sap Ewm Testing, Sharepoint Developer, T24 Technical And
•Xml Publisher, Php Developer, Android Application Development, Html Tagging, E-publishing, Software Development


Step-by-Step Machine Learning with Python
•The Course Overview
•Introduction to Machine Learning
•Installing Software and Setting Up
•Understanding NLP
•Touring Powerful NLP Libraries in Python
•Getting the Newsgroups Data
•Thinking about Features
•Data Preprocessing
•Topic Modeling
•Getting Started with Classification
•Exploring Naïve Bayes
•The Mechanics of Naïve Bayes
•The Naïve Bayes Implementation
•Classifier Performance Evaluation
•Model Tuning and cross-validation
•Recap and Inverse Document Frequency
•The Mechanics of SVM
•The Implementations of SVM
•The Kernels of SVM
•Choosing Between the Linear and the RBF Kernel
•News topic Classification with Support Vector Machine
•Fetal State Classification with SVM
•Brief Overview of Advertising Click-Through Prediction
•Decision Tree Classifier
•The Implementations of Decision Tree
•Click-Through Prediction with Decision Tree
•Random Forest – Feature Bagging of Decision Tree
•One-Hot Encoding – Converting Categorical Features to Numerical
•Logistic Regression Classifier
•Click-Through Prediction with Logistic Regression by Gradient Descent
•Feature Selection via Random Forest
•Brief Overview of the Stock Market And Stock Price
•Predicting Stock Price with Regression Algorithms
•Data Acquisition and Feature Generation
•Linear Regression
•Decision Tree Regression
•Support Vector Regression
•Regression Performance Evaluation
•Stock Price Prediction with Regression Algorithms
•Best Practices in Data Preparation Stage
•Best Practices in the Training Sets Generation Stage
•Best Practices in the Model Training, Evaluation, and Selection Stage
•Best Practices in the Deployment and Monitoring Stage
•Python Machine Learning Projects