Python Machine Learning Training

Enroll today for the Machine Learning python course and know everything about it.

Why Join Python Machine Learning Training?

Python Machine Learning Training from Seldom India

Training Certification

By Seldom India Technologies

Beginner Friendly

Do not need any prior knowledge

Classroom Training

Learn form experts directly

Placement Assistance

To start your career

5 Assignments & 7 Projects

Complete hands-on training

Expert Faculties

Learn form the Industry Experts

What placement assistance you will get ?

We have trained employees in Top Companies like

What is the training procedure ?

Join the training program

Attend classes regularly

Learn via hands-on in classroom

Complete assignments

Submit the project

Batch Options

Live Online

Join Instructor-led live online training.

Batch timing: 08:00 AM to 08:00 PM

Regular Classroom

Regular Classroom training.

Batch timing : 08:00 AM to 08:00 PM (mon – sat)

Fast-track Classroom

Fast-track full day training program in

Batch timing : 10:00 AM to 06:00 PM

Enroll today for the Machine Learning python course and know everything about it.

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Training Curriculum

MACHINE LEARNING

Lecture 1.1 Introduction to machine learning

Lecture 1.2 Understanding the need

Lecture 1.3 Understanding big data and machine learning

Lecture 1.4 Introduction to python syntax and programming logics

Lecture 1.5 Deep dive with supervised,unsupervised and reinforcement learning

Lecture 1.6 Algo discussion with use case

Lecture 1.7 Popular ML framework like tensor flow,scikit learn

PYTHON PROGRAMMING

Lecture 2.1 Basic of python and why python for machine learning

Lecture 2.2 Installation of software on different OS

Lecture 2.3 Understanding basic syntax with data types

Lecture 2.4 List , dictionary , tuple , string

Lecture 2.5 Extracting data from a file

Lecture 2.6 Committing your code to GITHUB

MORE ABOUT PYTHON PROGRAMMING

Lecture 3.1 Conditional Statements and Looping

Lecture 3.2 Functions and Modules

Lecture 3.3 File Handling

Lecture 3.4 Creating own modules and Library

Lecture 3.5 Web scraping with urllib2

Lecture 3.6 Grabbing system information from Popen and os library

Lecture 3.7 Scanning Network IP & MAC address with loops

Lecture 3.8 Introduction to Ipython with jupyter notebook

Lecture 3.9 Using jupyter notebook with Ipython & Python

Lecture 3.10 UDP Socket programming

Lecture 3.11 Exception & Signal handling

Lecture 3.12 Making chat program with UDP socket

Lecture 3.13 Extending chat programming

Lecture 3.14 Introduction to pandas

Lecture 3.15 Making dataframes with pandas

Lecture 3.16 Handling xls & csv files with pandas

Lecture 3.17 Loading and extracting existing xls files

PROJECT 1 : ONLINE/OFFLINE SMART CHATTING MACHINE LIKE WHATSAPP

Lecture 4.1 Introduction to Numpy & Matplotlib

Lecture 4.2 Managing arrary with numpy

Lecture 4.3 Multidimensional array with numpy

Lecture 4.4 Unit matrix handling & creating

Lecture 4.5 Deleting indexes from matrix

Lecture 4.6 Deep dive with Matplotlib

Lecture 4.7 Drawing general purpose graphs

Lecture 4.8 Graphs with mathematics

WORKING WITH PYTHON FOR ML

Lecture 5.1 Supervised Learning lab with Hello World Program

Lecture 5.2 Running the installer and use case

Lecture 5.3 Jupyter notebook for machine learning

Lecture 5.4 Installation of jupyter notebook

Lecture 5.5 DecisionTree classifier implementation

Lecture 5.6 Practise lab with DecisionTree algo and number of examples

Lecture 5.7 Making own algo with training data with python

MACHINE LEARNING TECHNIQUES

Lecture 6.1 Types of learning

Lecture 6.2 Advice of applying machine learning

Lecture 6.3 Machine learning System Design

Lecture 6.4 DecisionTree algo deep dive

Lecture 6.5 Training your machine with real time datasets

Lecture 6.6 Deep dive with UCI

Lecture 6.7 Lab session for loading data from different apis

Lecture 6.8 Detecting data from numpy and converting for training and testing data

Lecture 6.9 Exercise with ML and others framework

Lecture 6.10 Introduction to iris datasets

Lecture 6.11 Understanding iris datasets

More than 15000 candidates have already been trained at Seldom India Technologies

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Corporate & Institutional Clients have been served till now

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Experienced faculties

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Projects you will make in this training program

Create your own emoji with Python

The objective of this machine learning python course project is to classify human facial expressions and map them to emojis. You will build a convolution neural network to recognize facial expressions or emotions. Then you will map those expressions or emotions with the corresponding emojis or avatars

Loan Prediction using Machine Learning

The idea behind this online machine learning training project is to build a model that will classify how much loan the user can take. It is based on the user’s number of dependents, marital status, education, and employment. You can build a linear model for this project.

Titanic Survival Project

This will be a fun machine learning certification course project to build as you will be predicting whether someone would have survived. if they were in the titanic ship or not. For this machine learning course for beginners project, you will use the Titanic dataset that contains real data of the survivors and people who died in the Titanic ship.

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