Machine Learning Training In Chandigarh

machine learning training chandigarh

Best Machine Learning Training in chandigarh mohali is provided by our experts with more than 18 years experience. You can meet your trainer, get demo classes before joining the course. Machine Learning Training is provided by Manjit Sir having 18 years experience in Python , Data Science, Artificial Inteligence, Deep Learning, Big Data, Data mining etc. Not only students but many Python and Data Science Developers get their training from them. thousand of students working in Python have learned from him.

Machine learning training focuses on development of programs that can change when exposed to new data. We have trained many students in machine learning with python and AI who are working in reputed companies.It is great opportunity for students to join this company. If students are not satisfied then their fee is refundable. We also provide 100% Placement in Python and Machine Learning. We have link with 80 companies who always hire our students. You can check the list of students we have placed in many reputed companies.

Machine Learning Syllabus

Introduction

  • Introduction

  • Objectives

  • Need of Business Analytics

  • Types of Business Analytics

  • Descriptive Analytics

  • Predictive Analytics

  • Supply Chain Analytics

  • Health Care Analytics

  • Web Analytics

  • Data Science

  • Importance of Data Science




Introduction to Python Learning


  • What is Python..?


  • Installing Python


  • How to execute Python program


  • Getting help


  • Writing your first program




PYTHON Basics


  • Python keywords & Identifiers


  • Python Indentation


  • Comments


  • Getting user input


  • Exercise




Variables and Data Types


  • Variables


  • Numbers


  • Strings


  • Lists


  • Tuple


  • Dictionary


  • Exercise




Decision Making Loops


  • Control Flow Statements


  • While loop


  • for loop


  • break & continue statement


  • pass statement


  • Exercise




Functions


  • Introduction


  • Calling a function


  • Function arguments


  • Built-in functions


  • Scope of variables


  • Passing function to a function


  • Decorators


  • Lambda


  • Exercise




Modules and Packages


  • What is module..?


  • Importing module




Advance PYTHON DJANGO


  • What is django..?


  • Installing django




DJANGO Views


  • About view function


  • HttpRequest & HttpResponse


  • How to create views..?




DJANGO Models


  • Define models


  • Setting up database access


  • Creating django apps


  • Defining model fields


  • Creating a model


  • How to create tables for models in Database


  • Adding Model String Representations


  • Inserting & updating Data


  • Filtering Data


  • Ordering Data


  • Slicing Data


  • Deleting Objects




Numerical Analysis and Data Exploration with NumPy Arrays, and Data Visualization with Matplotlib


  • The NumPy array


  • Selecting data using slicing and logical indexing


  • Efficient numerical processing with multi-dimensional arrays


  • Access larger-than-RAM data using memory mapped arrays


  • 2D plotting with Matplotlib: line plots, scatter plots, histograms, labeling, and more.




Accessing, Preparing, and Exploring Data with Pandas


  • Loading from CSV and other structured text formats


  • Accessing data stored in SQL databases


  • 1D and 2D data structures: Series and DataFrame


  • Stripping out extraneous information


  • Data manipulation (alignment, aggregation, and summarization)


  • Group-based operations: split-apply-combine


  • Statistical analysis


  • Date and time series analysis with Pandas


  • Visualizing data




Machine Learning: Numeric Data


  • Logarithmic and curvilinear transforms


  • Data scaling


  • Outliers


  • Linear regressors


  • l1 and l2 normalization


  • Support vector machines (SVM)




Machine Learning: Image Data


  • Image storage formats


  • Scikit-image


  • Smoothing and denoising


  • Edge detection


  • Feature-based segmentation


  • K-means clustering




Machine Learning: Data Interfaces


  • CSV Files


  • Excel Files


  • JSON and XML Files


  • Web Data & Database




Machine Learning: Visualization


  • Pie Charts


  • Bar Charts


  • Boxplots


  • Histograms


  • Line Graphs




Machine Learning: Statistics


  • Mean, Median & Mode


  • Linear Regression


  • Logistic Regression


  • Normal Distribution


  • Binomial Distribution


  • Analysis of Covariance


  • Decision Tree


  • Random Forest




NATURAL LANGUAGE PROCESSING


  • Install nltk


  • Tokenize words


  • Tokenizing sentences


  • Stop words with NLTK


  • Stemming words with NLTK


  • Speech tagging


  • Sentiment analysis with NLTK


  • Random Forest




Introduction to OPENCV


  • Setting up opencv


  • Loading and displaying images


  • Applying image filters


  • Tracing Faces


  • Face Recognition




Clustering Based Learning


  • Definition


  • Types of Clustering


  • The type of k-means clustering algorithm




Data Mining


  • Introducing Data Mining


  • Decision Tree


  • Affility Analysis


  • Clustering




Performing Predition with Regression


  • Linear Regression


  • Multiple Regression


  • Training And Testing Model




Support Vector Machines(SVM)


  • Vector Machines




Neural Networks



Machine Learning Training Projects for B.Tech/M.Tech/MCA Students


  • Video Recommendation System (YouTube) with web Interface


  • Restaurant Recommendation System


  • Face Recognition System , Live Attendance System using camera


  • Prediction System for sales,shares using large dataset


  • Music and Art Generation with Machine Intelligence


  • Prediction System for sales,shares using large dataset


  • Home Electricity Load Forecasting.


  • Detecting Heart Abnormality using ECG with CART


  • Hierarchical Classification of Amazon Products


  • Machine Learning Implementation in live-cell tracking


  • Sentiment Analysis on Movie Reviews


  • Detecting Ads in a Machine Learning Approach


Machine Learning Training Chandigarh

Machine Learning is a set of libraries designed for data analysis and prediction tasks. It is used for handling the big data and predicting over large amount of data. Machine Learning Training allows us to apply techniques for existing or training data. It is currently one of the most popular large set of libraries.

Machine Learning Training from a software development company is effective for all and we will provide you an opportunity to work as data science developer in Oops Info solutions. Also we provide an alternate for better change in your current job.

Why Choose oops for Machine Learning with Python in Chandigarh

  • We have tie up with more than 50 companies who directly hire our students.

  • We provide on training placement.

  • Python is current requirement of the companies in chandigarh, mohali etc.

  • Oops provide training since 2005 in all advanced technologies.

  • We provide Free Demo Classes for one week.

Service Provided By Oops

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