+91 88845 88855
info@studyanalytics.in

Machine Learning Using Python

Develop the Machine Learning Skills through Python Programming, and Master it!!

Classroom Training on Machine Learning with Python

Machine Learning: Data Science and Machine Learning are the emerging buzz in the modern industry relate to advanced analytics, though the real work was there since long ago. A Data Scientist is an expert who knows the business, analyze the scenarios, diagnose issues, detect patterns, design solutions and automate process with predictions to help the company to improve its business with a competitive edge.

Python: Python is a scripting language used for complex scientific computations, web application development, Data Analysis and Data Science with Advanced and complex Machine Learning Algorithms. It has packages built over are made easy for a Data Scientist to apply advanced Machine learning algorithms, right from the basic plots to the advanced deep learning methods on industrial data.

A Man Working with Tools to depict that Hands-on Classes are Provided with machine Learning with Python Skill Course at Study Analytics
Hands-On Classes
A Man Working with Tools to depict that Hands-on Classes are Provided with machine Learning with Python Skill Course at Study Analytics
Industry Data
A Man Working with Tools to depict that Hands-on Classes are Provided with machine Learning with Python Skill Course at Study Analytics
Group Study
A Man Working with Tools to depict that Hands-on Classes are Provided with machine Learning with Python Skill Course at Study Analytics
Live Projects
A Man Working with Tools to depict that Hands-on Classes are Provided with machine Learning with Python Skill Course at Study Analytics
Study Material Shared
A Man Working with Tools to depict that Hands-on Classes are Provided with machine Learning with Python Skill Course at Study Analytics
Easy Learning Pedagogy

Course Highlights

Course Description

A Man Working with Tools to depict that Hands-on Classes are Provided with machine Learning with Python Skill Course at Study Analytics

40 Hrs of Classroom Training +
40 Hours Home Assignments and Project

  • A man working with Python Programming tools to show that Assignments are given per topic with machine Learning with Python Skill course at Study AnalyticsAssignments: 30+
  • A computer screen with process and outcome to indicate that projects with real business scenarios are facilitaed along with machine Learning with Python Skill course at Study AnalyticsProjects: Business Scenarios and Data
  • Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with machine Learning with Python Skill course at study analytcisDomains: Multiple- Retail, Online, Sales
  • A spanner and screw driver image to show that the teaching methodology at Study Analytics for machine Learning with Python Skill Course is practice basedClasses: 100% Practice Based

What do you get?

  • In-Class Assignments (Learn while practicing)
  • Live Projects to refine the subject taught (Be experienced)
  • The best practices to build an effective Business dashboard
  • Skills on data processing and business reporting life cycle
  • Most Relevant and Latest Methods in Data Analytics and the Best Practiced Python Programming Techniques.
  • Skills on Statistical Analysis
  • Latest Machine Learning Algorithms in Data Science
Two fresh graduates new to Analytics standing hand in hand to indicate the prerequisites for taking up machine Learning with Python Skill course at Study Analytics

Prerequisites

Machine Learning is a mathematical discipline, and students will benefit from a good background in probability, linear algebra and calculus. Programming experience is essential.Any individual who wishes to learn Machine Learning, but with a strong foundation of statistics, mathematics, data structures and algorithms and principles of programming languages, having working knowledge in Analytics using Python can enroll for this program

Two succesful candidates wearing graduation caps after completing machine Learning with Python Skill Course at Study Analytics

Course Outcome

At the end of the course the learners will be able to design and implement machine learning solutions to business problems by converting them into classification, regression, and clustering problems, and be able to evaluate and interpret the results of the algorithms and Implement the solutions using Python Programming.

Course Modules

  • Regression
    • 1. Linear Regression
    • 2. Decision Trees
    • 3. Random Forest
    • Case Studies
    • Assignments
  • Classification
    • 1. Logistic Regression
    • 2. K Nearest Neighbors
    • 3. Support Vector Machines
    • 4. Naïve Bayes
    • Case Studies
    • Assignments
  • Clustering
    • 1. K-Means Clustering
    • 2. Hierarchical Clustering
    • Case Studies
    • Assignments
  • Association Rule Learning
    • 1. Apriori
    • 2. Eclat Algorithm
    • Case Studies
    • Assignments
  • Dimensionality Reduction
    • 1. Principal Component Analysis
    • 2. Linear Discriminant Analysis
    • Case Studies
    • Assignments
  • Neural Networks
    • 1. Artificial Neural Network
    • 2. Convolutional Neural Network
    • 3. Recurrent Neural Networks
    • Case Studies
    • Assignments
  • Time Series Analysis
    • Case Studies
    • Assignments
  • Text Mining
    • 1. Text Processing
    • 2. Analysis and predictions
    • Case Studies
    • Assignments
  • Capstone Project
  • Practical Labs using Python and Keras
Disclaimer heading
Disclaimer Description

Hear from Our Students

Ashith SomanLam Research

The classes at Study Analytics were conducted with interactive sessions. The doubts were cleared. Puzzles given to us made us think out of the box. We were trained to think of how real-time scenarios works.

Sahana M DAsst Manager, HSBC

Coaching method at Study Analytics is real-time oriented i.e., based on real-time data sets through which we would be able to analyze the problem, faculties who taught us has a great potential to make the student find out solutions for the problem given. Conferences organized from the institute is worth attending where they invite corporate from the very well know companies and from the top level. And even the institute help us to get referred to top companies. The teaching method is very interactive and helpful in facing interviews and to solve the corporate puzzle at the time of interview.

Srishti KalwarCovance

The sessions at Study Analytics was very useful. Got to know much about where and how big data plays a role in the banking sector and how the data is handled or dealt within the banking sector.

Varun JindalICICI Bank

Good structure and the programming examples used on every step of learning. Detailed notes or presentations are used for the daily classes which helps in imbibing the basics very diligently. Timing flexibility is there with a list of options.

Sanchit SumanData Science Analyst, Apple

There is a difference when a trainer teaches you (with respect). They equip you with an understanding that helps you tackle even the problem outside the book. The material is very informative, and the peer group makes learning even more fun. Study Analytics is the place to learn analytics.

Sandeep KinayathPraqma

Provided fully fledged Study materials with real-time examples helped a lot to get practical experience in Base SAS. Importantly faculty was very helpfully in explaining for obtaining certification and future career advancement.

Deepthy SajayCADD Centre

The classes was very useful and I got to learn many things related to banking domain and how analytics is used in banking industry. All my quries were answered and I was very comfortable with the classes and the traning program.
Let our experts help you customizing the course for your profile

FAQ

One can learn the concepts of machine learning without Python or any other language but to implement those concepts, the learner needs to atleast know one programming language and Python is suitable for beginners. Python's simple syntax and readability enables rapid testing of complex algorithms, and make the language accessible even to non-programmers. The language is best to use when working with machine learning algorithms and has easy syntax relatively.
Machine Learning is not limited to any programming language. There are Machine Learning libraries in most of the programming languages including R and Python in the lead. If you are a beginner in data science field with some good programming skill, the learning curve will be same for you for both Python and R. Python's simple syntax and readability promote speedy testing of complex algorithms, and make the language easily accessible to even non-programmers.

Have a Query?

Reach to Us

#67, Jyoti Nivas College Road, Kormangala 5 th Block, Bengaluru, India
+91-8025502234
info@studyanalytics.in
Request
a Callback