Machine Learning with Python or R Training in Bangalore

Machine Learning with Python Course Syllabus

ü  Artificial Intelligence Course Content In Bangalore

ü  Description

ü  AI is any technique, code or algorithm that enables machines to develop, demonstrate and mimic human cognitive behavior or intelligence and hence the name “Artificial Intelligence”. Some of the most successful applications of AI around us can be seen in Robotics, Computer Vision,

ü  Virtual Reality, Speech Recognition, Automation, Gaming and so on…

ü  WHY YOU SHOULD TAKE THIS TRAINING COURSE?

ü  Artificial Intelligence is constantly pushing the boundaries of what machines are capable of. The Main purpose of training real time smart machine is to use their speed and capability. Most importantly machine can think and perform task like humans. By this course student will be able to design and develop an advance AI System.

ü  Learning Outcomes

ü  Python Programming for ML

ü  Supervised based algo implementation

ü  Matplotlib for graph plots with linear regression

ü  Live Image Processing

ü  Image Recognition

ü  NLP and Cloud Connectivity

ü  Secured AI with ML and IoT

ü  Introduction

ü  Artificial Intelligence

ü  Introduction to Artificial Intelligence (AI)

ü  History of AI

ü  Importance and other Philosophies about AI

ü  General Approaches and Goals of AI

ü  Components of AI

ü  Working Domains/Companies/Products in Current Market

ü  Programming Languages Used for AI

ü  Python Programming

ü  Python Programming

ü  Basic of python and why python for machine learning

ü  Installation of software on different OS.

ü  Understanding basic syntax with data types

ü  Number, String, List, Tuple, Dictionary

ü  Extracting data from a file

ü  Committing your code to GIT

ü  More About Python Programming

ü  Conditional statement and loops

ü  Function and modules

ü  File handling

ü  Creating own modules / library

ü  Web scraping with urllib2

ü  Grabbing system information from Popen and os library

ü  Scanning Network IP & MAC address with loops

ü  Libraries Used

ü  Introduction to Numpy & Matplotlib

ü  Managing arrary with numpy

ü  Multidimensional array with numpy

ü  Unit matrix handling & creating

ü  Deleting indexes from matrix

ü  Deep dive with Matplotlib

ü  Drawing general purpose graphs

ü  Graphs with mathematics

ü  Machine Learning Techniques

ü  Types of learning

ü  Advice of applying machine learning

ü  Machine learning System Design

ü  Decision Tree Classifier

ü  Training your machine with real time datasets

ü  Deep dive with UCI

ü  Lab session for loading data from different APIs

ü  Detecting data from numpy and converting for training and testing data

ü  testing data

ü  Exercise with ML and others framework

ü  Introduction to iris datasets

ü  Understanding iris datasets

ü  Modifying and loading with scikit-learn

ü  Separating data with numpy

ü  Training classifier

ü  Algo data process view

ü  Decision Tree understanding

ü  Linear Regression

ü  Using House Price Prediction

ü  Simple Linear Regression

ü  Polynomial Linear Regression

ü  Cost Function of Linear Regression

ü  Understanding linear regression using matrix

ü  Logistic Regression

ü  Using Iris dataset to understand logistic regression

ü  Concept of linearly separable data

ü  Cost Function & Mathematical Foundation

ü  Using Iris dataset to understand logistic regression

ü  Concept of linearly separable data

ü  Cost Function & Mathematical Foundation

ü  Neural Networks Analysis

ü  Introduction to Neural Network

ü  Understanding neural networks

ü  Data learning and machine predictions

ü  Neural networks real understanding

ü  Neural network implementation with real datasets

ü  Natural Language Processing

ü  Tokenizing text data

ü  Converting words to their base forms using stemming

ü  Converting words to their base forms using lemmatization

ü  Dividing text data into chunks

ü  Extracting the frequency of terms using a Bag of Words model

ü  Building a category predictor

ü  Constructing a gender identifier

ü  Building a sentiment analyzer

ü  Topic modeling using Latent Dirichlet Allocation

ü  More About ANN

ü  Perception

ü  Back Propagation/Training Algo’s

ü  Convolutional & Recurrent and Artificial Neural Networks

ü  Deep Neural Network

ü  Natural Language Processing (NLP)

ü  Introduction to NLP

ü  Word Representation Model

ü  Sentence Classification

ü  Language Modeling

ü  Project:- Building AI based ChatBot ussing Tensorflow

ü  Feature Engineering

ü  Categorical Features

ü  Text Features

ü  Image Features

ü  Derived Features

ü  Imputation of Missing Data

ü  Feature Pipelines - Transformer & Estimator

ü  Naive Bayes Classification

ü  Bayesian Classification

ü  Gaussian Naive Bayes

ü  Multinomial Naive Bayes

ü  When to Use Naive Bayes

ü  Application : Identify category from text

ü  K-Means Clustering

ü  Introducing k-Means

ü  Understanding cost function for unsupervised algorithms

ü  Elbow rule to decide number of clusters

ü  Application : Image compression

ü  Application : Detection of number of characters in arabic

ü  Decision Trees And Random Forests

ü  Understaning Decision trees

ü  Printing tree

ü  Motivating Random Forests: Decision Trees

ü  Ensembles of Estimators: Random Forests

ü  Random Forest Regression

ü  Application: Random Forest for Classifying Digits

ü  Other Boosting techniques - AdaBoost, Gradient Tree Boosting

ü

Machine Learning with Python Trainer Profile & Placement

• More than 10 Years of experience in Machine Learning with Python Domain
• Has worked on multiple realtime Machine Learning with Python Projects
• Working in a top MNC company in Bangalore
• Trained 2000+ Students so far in Machine Learning with Python Training.
• Strong Theoretical & Practical Knowledge
• Machine Learning with Python Certified Professionals

Popular Interview Questions for Machine Learning with Python

Why choose BTA for Machine Learning with Python Training in Bangalore?

• Bangalore Training Academy has excellent qualified Machine Learning with Python Trainers
• 100% student satisfaction rate, we will continue that in future.
• Excellent Lab Facilities and Infrastructure
• There are no hard & fast rules for timings.

Machine Learning with Python Training Batches in Bangalore

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Machine Learning with Python Training Centers across Bangalore

• Machine Learning with Python Training in Marathahalli
• Machine Learning with Python Training in HSR Layout
• Machine Learning with Python Training in BTM Layout
• Machine Learning with Python Training in Rajaji Nagar
• Machine Learning with Python Training in Ramamurthy Nagar
• Machine Learning with Python Training in Kalyan Nagar