Machine Learning by Edupristine: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom +1 more	Mode of Delivery Video and Text Based

Course overview

Data science and machine learning are emerging fields with a huge demand for skilled professionals who have robust knowledge and the practical skills of programming, analyzing data, and complex problem-solving. EduPristine’s Machine Learning in Python programme will provide a step-by-step model with complex algorithms that you can apply to solve business problems in the real world.

The programme gives an introduction to Python and delves deep into the various tools and techniques required to master it. Participants get hands-on experience in the Machine Learning in Python certification training with tools like Python, Tensor Flow, and Keras. The course familiarises candidates with Python necessities for Machine Learning, including Anaconda, PIP, Conda, and Scikit-Learn.

This course comes with EduPristine’s superior service in post-course engagement which includes a certificate in Machine Learning in Python issued by EduPristine. Candidates also get access to LMS for one year, real-life projects, dedicated discussion forums, and case studies. Further, the participants receive career assistance, regular job updates, and guidance with resume preparation. Industry leaders with years of relevant experience and expertise teach the course.

Course and certificate fees

certificate availability

Yes

certificate providing authority

Edupristine

Who it is for

Software developer

This course is designed for professionals who:

Want to pursue a career in Machine learning and Data Science
Want to learn Python for their ongoing projects
Want to automate decision-making and web-based machine learning applications
Want to analyze large datasets to create insightful results
Want to excel at data scraping for data analysis

Eligibility criteria

The individuals interested in enrolling in Machine Learning in Python training course need to have industry experience or a certification in predictive business analytics. This will ensure that they have a background in data science and machine learning and equip the candidates to understand this course better.

What you will learn

Problem solving ability Machine learning Knowledge of python

After completing the course in Machine Learning in Python, candidates will be able to:

Master Machine Learning and Data Analytics in Python to implement complex algorithms with ease
Make calculated predictions by analyzing large amounts of data
Combine robust models and effective analysis methods to solve business problems
Create business solutions by solving complex problems with Python
Learn to work with Python necessities like Anaconda, PIP, Conda, Scikit-Learn, and more
Understand the functionality of Neural Networks for complex pattern recognition
Understanding machine learning algorithms and categories to implement them with ease

The syllabus

Data Analytics in Python

Introduction to Python

Installing Python (Using Anaconda)
Using Jupyter notebooks
Installing Packages (PIP and Conda Install)

Understanding Python

Python Expressions and Variables
Python Types and Sequences
Python Dates and Times

Analyzing Data In Python

Importing data in Python
The DataFrame Data Structure
Querying a DataFrame
Indexing Dataframes

Using pandas for data Wrangling

Select, group by, pivot tables, etc

Linear Regression in Python

Introduction to Scikit-Learn

Python Tools for Machine Learning
What is Open Source?
Introduction to Supervised Machine Learning in Python

Building a linear model in Python

Building A Regression Model (Steps to establish a regression)
Data Preparation – Data Audit, Missing Value and Outliers
Label encoding and One Hot Encoding (dummy variables creation)
Building the model
Saving a model (Pickling of models)
Using Pickled models for predictions
Using Linear Model for Predictions

Regression Evaluation

Accuracy, RMSE, MAPE

Clustering (K Means)

Clustering using K-means

Identifying the ideal number of clusters

Understanding the clusters

Visualization the output

Identifying clusters on new data (Predictions)

Association Rules in Python

Using mlxtend package in Python

Usage of frequent patterns from mlextend

Generating output using Association rules

Filtration of Rules
Removal of redundant rules
Control the rules
Finding rules for particular entity
Visualizing Rules
Challenges with Association rules and Ways to overcome the same

Evaluating the Rules

Calculation of Lift, Support, Confidence

Introduction to Random Forests

Why Random Forests

Concept of Overfitting
Concept of Bagging of Trees
How are they better than traditional Decision Trees

Building a Random Forest Classifier

Data Preparation
Model Development
Tuning Hyper-Parameters
Predictions using Classifier
Evaluating a Random Forest Classifier

Understanding Random Forests

Variable Importance in RF

Introduction to Neural Nets and Deep Learning

Why Neural Nets

Working of a Neural net
Understanding Neural net structure
Backpropogation and Activation Functions

Building a Neural Net using Keras and Tensorflow

Introduction to Keras and Tensorflow

Developing a image classifier

Understanding unstructured data
Conversion of unstructured data to structured data
Creating a classifier
Making Predictions

Admission details

The following steps will help you register for the EduPristine Machine Learning in Python programme:

Step 1: Visit the page: https://www.edupristine.com/courses/machine-learning and click on the Enroll Now button

Step 2: You will see the course details. Review them and click on Continue.

Step 3: Enter your details and select the course

Step 4: Choose the preferred mode of payment.

Step 5: Enter voucher code, if you have any. Proceed with making the payment

Filling the form

You can register for EduPristine Machine Learning in Python Course on their website, choosing the programme, and reviewing fee details. It is mandatory for candidates to provide their name, email id, phone number, residential address, and classroom city. After providing the details, make a fee payment.

How it helps

The Machine Learning in Python course by EduPristine gives the participants knowledge about various tools used in Python. This course is best suited for data science and machine learning enthusiasts. EduPristine offers 31 hours of intensive instructor-led training for this course along with 24*7 access to the Learning Management System (LMS) for one year.

According to the Deccan Chronicle, India will see a 60 percent rise in Machine Learning job opportunities. At present, there are thousands of unfilled vacancies in the industry, so learning Python and machine learning will ensure that you get placed immediately. With the Machine Learning in Python programme by EduPristine, you can have a career in the field of Machine Learning by getting end-to-end career support, including skill-based business analytics training and job assistance.

FAQs

Which companies can I work at after this course?

After getting certified from EduPristine, students will be able to grab a job opportunity at some of the best names in the industry like Aditya Birla Group, ICICI Banks, Practo, Acer, and Adobe.

What is the training methodology followed by EduPristine?

The training methodology at EduPristine combines a host of well-rounded practices like analytical tools, hands-on training, and real-life case studies for an enhanced learning experience. The curriculum, practical assignments, and projects ensure that the participants are ready for the market.

What is the importance of doing this course in Machine Learning in Python?

According to The Deccan Chronicle, Machine Learning jobs in India will see a 60% rise in the next couple of years, which makes this course lucrative for individuals invested in this field. This would be the best time to launch your career in this field, as there are ample growth opportunities. Even professionals involved in analytics can use this to boost their careers.

Who are the faculty members for this course?

The faculty members at EduPristine include a team of industry leaders. The instructors for Machine Learning in Python programme are data science professionals with accumulated experience in marketing analytics, sales forecasting, web analytics, postgraduate in Applied Statistics and Informatics from IIT Bombay and more.

What information does the certificate display?

The certificate contains a declaration that the said candidate has completed the training for Machine Learning in Python. EduPristine issues it to validate your expertise in the field.

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