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Machine learning with Python

Course Objective

Machine Learning with Python Scripting is one of the easy languages to learn and is widely used from individuals to big organizations such as Google. This Machine Learning with Python training starts with the basic syntax of Python and continues to small GUI programs. You will learn Python data types such as Tuples and Dictionaries, Looping, Functions and I/O handling. Python training will also give you an overview of Object Oriented Programming and Graphical application development. Python Scripting course will explain some basics modules and their usage. At the end of the Python Scripting Training, individuals will have the skills to grow in Web-Development, GUI Application Programming, Game Development and writing powerful scripts for System Administration.

Audience: Machine Learning with Python training is aimed both for individuals starting with programming and people who already have other programming language skills.

Course Prerequisites

Regular Track: Any candidate with basic knowledge of computer and networking, No prior knowledge of the Python programming language is necessary

Fast Track: Candidate with basic knowledge of any programming language.

Training Basket provides best Machine Learning with Python training in Noida that is based on industry standard learnings that assists students in getting placements in top MNCs. It is one of the most capable institutes in Noida that offers hands on real time industry based projects and a deep practical knowledge with full job assistance. With a well equipped high tech infrastructure, Training Basket has become one of the best and well known Machine Learning with Python training centres in Noida.

Training Basket’s Machine Learning with Python course will provide the basic as well as deep knowledge also. Here, you will also be trained to create your own private Machine Learning with Python platform and its deployment on real projects on live project. With highly skilled trainers, Training Basket aims to provide the best training in Noida hence leading to positive results by placing our students in the highly demanded Machine Learning with Python profiles in top MNCs.

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Course Training Plan

Instructor-led Classroom Classes

May

6th | 13th | 20th | 27th

Mon-Thu (45 Days) Regular Batch

June

3rd |10th | 17th | 24th

Mon-Thu (45 Days) Regular Batch

July

1st | 8th | 15th | 22th | 29th

Mon-Thu (45 Days) Regular Batch

August

5th | 12th | 19th | 26th

Mon-Thu (45 Days) Regular Batch

Schedule does not suit you, call us now! or Want to take one-on-one training, call us now! 

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Course Advisor

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Mr. Dheeraj Sr. Trainer Software

Dheeraj is a Software instructor and inspiring trainer at Training Basket. Dheeraj has a 10+ experience of IT industry before joining Training Basket. As a trainer he takes Core-Java , Advance -Java , Bigdata and Android classes. He has travelled many cities to deliver trainings, college consultancies, Training Basket customers and corporate clients. He also has a very huge student base.

Course Details Download

COURSE OUTLINE

Python With Machine Learning Training
Machine learning is the science of getting computers to act
without being explicitly programmed. In the past decade,
machine learning has given us self-driving cars, practical
speech recognition, effective web search, and a vastly
improved understanding of the human genome. Python is
mainly stated as high-level, general-purpose programming
language, which emphasizes code readability.

MACHINE LEARNING BASICS
  • Converting business problems to data problems
  • Understanding supervised and unsupervised learning
  • with examples
  • Understanding biases associated with any machine
    learning algorithm
  • Ways of reducing bias and increasing generalisation
    capabilities
  • Drivers of machine learning algorithms
  • Cost functions
  • Brief introduction to gradient descent
  • Importance of model validation
  • Methods of model validation
  • Cross validation & average error
GENERALISED LINEAR MODALS IN PYTHON
  • Linear Regression
  • Regularisation of Generalised Linear Models
  • Ridge and Lasso Regression
  • Logistic Regression
  • Methods of threshold determination and performance
  • measures for classification score models
TREE MODEL USING PYTHON
  • Introduction to decision trees
  • Tuning tree size with cross validation
  • Introduction to bagging algorithm
  • Random Forests
  • Grid search and randomized grid search
  • Extra Trees (Extremely Randomised Trees)
  • Partial dependence plots
BOOSTING ALGORITHMs USING PYTHON
  • Concept of weak learners
  • Introduction to boosting algorithms
  • Adaptive Boosting
  • Extreme Gradient Boosting (XGBoost)
SUPPRORT VECTOR MACHINES (SVM) & KNN IN PYTHON
  • Introduction to idea of observation based learning
  • Distances and similarities
  • k Nearest Neighbours (kNN) for classification
  • Brief mathematical background on SVM/li>
  • Regression with kNN & SVM
UNSUPERVISED LEARNING IN PYTHON
  • Need for dimensionality reduction
  • Principal Component Analysis (PCA)
  • Difference between PCAs and Latent Factors
  • Factor Analysis
  • Hierarchical, K-means & DBSCAN Clustering
ARTIFICIALl NEURAL NETWORKS IN PYTHON
  • Introduction to Neural Networks
  • Single layer neural network
  • Multiple layer Neural network
  • Back propagation Algorithm
  • Neural Networks Implementation in Python
TEXT MINING IN PYTHON
  • Gathering text data using web scraping with urllib
  • Processing raw web data with BeautifulSoup
  • Interacting with Google search using urllib with custom
  • user agent
  • Collecting twitter data with Twitter API
  • Naive Bayes Algorithm
  • Feature Engineering with text data
  • Sentiment analysis
VERSION CONTROL USING GIT AND INTERATIVE DATA PRODUCT
  • Need and Importance of Version Control
  • Setting up git and github accounts on local machine
  • Creating and uploading GitHub Repos
  • Push and pull requests with GitHub App
  • Merging and forking projects
OPEN CV
  • Basic of Computer Vision & Open CV
  • Images Manipulations
  • Image Segmentation
  • Object Detection
  • Face, People and Car Detection
  • Face Analysis and Fulters
  • Machine Learning in Computer Vision
  • Motion Analysis & Object Tracking
CASE STUDY
  • Automate lender & borrower matching through prediction
  • of loan interest rates-
  • Classify customers based on revenue potential for a
  • wealth management firm-
  • Capture risks associated with micro loans
  • How do the tech specifications of a vehicle impact its
    emissions?
  • Save lives by predicting health issues in diabetics:
  • Predicting annual income based on census data
  • Understanding impact of cash assistance programs in
    New York
  • Car Survey Data
  • Pricing wines based on chemical properties
  • Customer spend data at a retail chain
  • Predicting annual income based on census data

FAQ’S

WHY SHOULD WE GO FOR CLASSROOM INSTRUCTOR-LED TRAINING INSTEAD OF ONLINE TRAINING?

Classroom Instructor-led training is much more effective than online training. The face-to- face classroom sessions not only make you more focused but also more employable in the job market.

WHO DELIVERS THE TRAINING ?

Our trainers are highly qualified, Certified experts with rich training experience. All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating continue to train for us.

WHY SHOULD I ENROLL AT TRAINING BASKET , AS OTHER INSTITUTES ARE OFFERING THE SAME PROGRAMME AT LOWER FEES?

The course curriculum, quality of trainers and lab facilitates at Training Basket are unparallel with respect to any other IT Institute. Also, Training Basket is Red Hat Certified Training Partner with , offering Programmes based on latest Technologies.

HOW IS MY PERFORMANCE ASSESSED?

Your performance will be assessed based on an online examination conducted at Training Basket.

WHAT IF I MISS A CLASS OR A COUPLE OF CLASSES?

If you miss any class, based on the available batches, you can request to attend the required class(es) again. And moreover, the Training Basket is always available to lend you a helping hand.

WILL I GET EXTRA SUPPORT, IF REQUIRED?

Yes of course! You can attend extra classes, speak to your faculty and get your doubts cleared.

WHAT ARE THE PAYMENT METHODS?

Payment methods vary from person to person. Get it clarified from the counsellor when you are enrolled. You can also opt for NO-EMI- installment-credit card method of payment.

WILL I GET PLACEMENT ASSISTANCE?

Yes, of course! Training Basket has an exclusive placement portal for its students under JobBasket, which provides placement assistance. Also, improve your English speaking and writing skills to enhance your employability and gain interview skills.

Shall I bring my Laptop during the Training Program?

Students have to bring their laptop. Installation of software related to technology and practice/lab can be done easily.

Where do I contact if I have any doubts?

You can write to us at support@trainingbasket.in You can call on the following numbers +91-9871930352 +91-9873831930 +91-7291047614

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Biggest pool of Industry Experts

Certified experts with rich training experience

Assignments

Each class will be followed by practical assignments which will aggregate to minimum 20+ hours.

Live Instructor-led Training

This isn’t canned learning. Its dynamic, its interactive, its effective

Dedicated Job-Portal

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Z
Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the concepts.

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