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    Best Online Machine learning Training Institute In Delhi (Noida).

      5.0 out of 5 based on 139 ratings. 28 user reviews.



  • About Our Machine learning Course


    Explore the best Machine Learning online course provided by Evision, provides trainees to one step closer to their career goal. This course is designed by our corporate experts, having 10+ years of experience, that helps you master Python, Machine Learning algorithms, AI, etc. Learn from well experienced Industry Experts, this best Machine Learning course & get professional certification.



  • Online Training Course Overview


    This Machine Learning Program is specifically developed by leading faculty and industry leaders with Customized Specialisations. The course will nurture and transform you into a highly-skilled professional with an in-depth knowledge of various algorithms and techniques, such as regression, classification, supervised and unsupervised learning, Natural Language Processing, etc. Evision’s best ML training also equips you to use Python programming language, which is a core to draw predictions from data.


  • Why should you take up this Machine learning certification training?


    Machine Learning is one of the most sought after courses by data companies in the world, owing to the immense pace at which the world is shifting towards AI and automation. Hence, by leveraging Evision’s Machine Learning training, you will be exposed to numerous high-paying job opportunities and that too, at the starting few phases of your career.

  • Here are some few key points that may make you think seriously about ML


    • There are over 7,332 Machine Learning jobs available in India alone as per LinkedIn.
    • Over 64,000 job openings are available for Machine Learning professionals in the USA, according to LinkedIn.
    • As per Indeed, the average income of Machine Learning Engineers is US$140,579 per annum in the United States.
    • The average annual income of Machine Learning Engineers in India is ₹685,100 (PayScale).
    • The growth rate for ML jobs is about 350%!

  • Who should learn this Machine learning certification training?


    Our ML course has been designed in such a way that anyone, starting from a fresher/undergraduate or a professional seeking a career change can take up our course and be benefited from the same.

  • Career Path


    Career options after clearing Machine learning certification are:
    • Software Engineer
    • Software Developer
    • Data Scientist
    • Computational Linguist



  • Eligibility


    BCA / MCA / BE / B.Tech / BCS / MCS / BBA / MBA

  • Objectives


    • Microsoft excel for data analysis and data transformation.
    • Data analysis, project life cycle, and Data Science in the real world.
    • Techniques of evaluation, experimentation, and project deployment.
    • Analysis segmentation using clustering and the technique of prediction.
    • Python with Data Science.
    • Machine Learning algorithms.
    • Data Science at scale with PySpark, AI with TensorFlow.
    • Git, Storytelling.
    • Deploying Machine Learning models on Clouds (MLOps).
    • Data visualization with Tableau.
    • Natural Language Processing and its applications.
    • Data Science projects, analytics, and recommender systems.

  • Skills Covered


    Python | Data Science | Data Analysis | AI |GIT |MLOps |Data Wrangling |SQL Machine Learning | Prediction algorithms | NLP |PySpark Model |Data visualization

  • Key Features


  • Prerequisites


    Basic knowledge of computer programming , Excel & Maths.

  • Course Schedule and Fees


    Week Day batches

    (Mon-Fri)


    30th aug 2021

    Monday

    8:00 Am(IST)

    1hr - 1.30hr/ per person

    Week Day batches

    (Mon-Fri)


    30th aug 2021

    Monday

    8:00 Am(IST)

    1hr - 1.30hr/ per person

    Week Day batches

    (Mon-Fri)


    30th aug 2021

    Monday

    8:00 Am(IST)

    1hr - 1.30hr/ per person

    Week End batches

    (Mon-Fri)


    30th aug 2021     

    Monday

    8:00 Am(IST)

    1hr - 1.30hr/ per person


    can't find a batch you were looking for?


    Course Content


    Introduction to Machine learning using Python • What is Machine learning, what does a data scientist do • Various examples of Machine learning in the industries • How Python is deployed for Machine learning applications • Various steps in Machine learning process and selecting the model. • Introduction to Python programming language • Important Python features, how is Python different from other programming languages • Python installation, Anaconda Python distribution for Windows, Linux and Mac • How to run a sample Python script, Python IDE working mechanism • Running some Python basic commands • Python variables, data types and keywords. Hands-on Exercise – • Installing Python Anaconda for the Windows, Linux and Mac Module 02: Python basic constructs • Introduction to a basic construct in Python • Understanding indentation like tabs and spaces • Python built-in data types • Basic operators in Python • Loop and control statements like break, if, for, continue, else, range () and more. Hands-on Exercise – • Write your first Python program • Write a Python function (with and without parameters) • Use Lambda expression • Write a class • Create a member function and a variable • Create an object and write a for loop to print all odd numbers Module 03: NumPy for mathematical computing • Introduction to mathematical computing in Python • What are arrays and matrices, array indexing, array math, Inspecting a NumPy array, NumPy array manipulation Hands-on Exercise – • How to import NumPy module • Creating array using ND-array • Calculating standard deviation on array of numbers and calculating correlation between two variables. Module 04: Pandas for Data manipulation • What is a data Manipulation? Using Pandas library • NumPy dependency of Pandas library • Series object in pandas • DataFrame in Pandas • Loading and handling data with Pandas • How to merge data objects • Concatenation and various types of joins on data objects, exploring dataset Hands-on Exercise – • Doing data manipulation with Pandas by handling tabular datasets that includes variable types like float, integer, double and others. • Cleaning dataset, Manipulating dataset, Visualizing dataset Module 05: Data visualization with Matplotlib • Introduction to Matplotlib • Using Matplotlib for plotting graphs and charts like Scatter, Bar, Pie, Line, Histogram and more • Matplotlib API Hands-on Exercise – • Deploying Matplotlib for creating pie, scatter, line and histogram. • Subplots and Pandas built-in data visualization. Module 06: Maths for DS-Statistics & Probability • Central Tendency • Variability • Hypothesis Testing • Anova • Correlation • Regression • Probability Definitions and Notation • Joint Probabilities • The Sum Rule, Conditional Probability, and the Product Rule • Bayes Theorem Hands-on Exercise – • We will analyze both categorical data and quantitative data • Focusing on specific case studies to help solidify the week’s statistical concepts Module 07: Machine Learning using Python • Revision of topics in Python (Pandas, Matplotlib, NumPy, scikit-Learn) • Introduction to machine learning • Need of Machine learning • Types of machine learning and workflow of Machine Learning • Uses Cases in Machine Learning, its various algorithms • What is supervised learning • What is Unsupervised Learning Hands-on Exercise – • Demo on ML algorithms Module 08: Supervised learning-Linear Regression • What is linear regression • Step by step calculation of Linear Regression • Linear regression in Python Hands-on Exercise – • Using Python library Scikit-Learn for coming up with Random Forest algorithm to implement supervised learning. Module 09: Supervised learning-Logistics Regression • Logistic Regression • What is classification • Decision Tree, Confusion Matrix, Random Forest, Naïve Bayes classifier, Support Vector Machine, XGBoost Hands-on Exercise – • Using Python library Scikit-Learn for coming up with Random Forest algorithm to implement supervised learning. Module 10: Unsupervised Leaning & K Means Clustering • Introduction to unsupervised learning • Use cases of unsupervised learning • What is clustering • Types of clustering-Exclusive clustering, Overlapping Clustering, Hierarchical Clustering • What is K-means clustering • Step by step calculation of k-means algorithm • Association Rule Mining, Market Basket Analysis, Measures in association rule mining-support, confidence, lift • Apriori Algorithm Hands-on Exercise – • Setting up the Jupyter notebook environment • Loading of a dataset in Jupyter • Algorithms in Scikit-Learn package for performing Machine Learning techniques and training a model to search a grid. • Practice on k-means using Scikit • Practice on Apriori Module 11: Hire Clustering And Dimension Reduction • Introduction to Dimensionality • Why Dimensionality Reduction • PCA • Factor Analysis • LDA Hands-on Exercise – • Practice Dimensionality reduction Techniques : PCA, Factor Analysis, t-SNE, Random Forest, Forward and Backward feature Module 12: Time Series Forecasting • White Noise • AR model • MA model • ARMA model • ARIMA model • Stationarity • ACF & PACF Hands-on Exercise – • Create AR model • Create MA model • Create ARMA model Module 13: OOPs in Python • Understanding the OOP paradigm • What are access modifiers, instances, class members • Classes and objects • Function parameter and return type functions • Lambda expressions. Hands-on Exercise – • Writing a Python program and incorporating the OOP concepts Module 14 : Python integration with Spark • Introduction to PySpark • Who uses PySpark, need of spark with python • PySpark installation • PySpark fundamentals • Advantage over MapReduce, PySpark • Use-cases PySpark and demo. Hands-on Exercise – • Demonstrating Loops and Conditional Statements • Tuple – related operations, properties, list, etc. • List – operations, related properties • Set – properties, associated operations, dictionary – operations, related properties
    Download Syllabus

    Machine learning Real Time Projects


    Project : 1

    Decision Tree


    You will hands-on work on understanding the extensive structure of the PIMA Indians Diabetes database. You will have to use SciKit-learn and create a decision tree model for the given PIMA Indians Diabetes database.


    Skills Required for the project
    GitHub Python Machine learning python with automation

    Duration: 3 Hours

    Project : 2

    Insurance Cost Prediction (Linear Regression)


    You will understand the structure of a medical insurance dataset where you will implement both simple and multiple linear regressions. You will use the data to predict the insurance cost values through this project.


    Skills Required for the project
    GitHub Python Machine learning python with automation

    Duration: 3 Hours

    Project : 3

    Diabetes Classification (Logistic Regression)


    You will primarily understand the various structures of the PIMA Indians Diabetes database where you will implement multiple logistic regressions. You will fit your data. evaluate your data and visualize it in this project.


    Skills Required for the project
    GitHub Python Machine learning python with automation

    Duration: 3 Hours

    Project : 4

    Random Forest


    You will create a model which helps in classifying patients into different categories. The categories include "normal", "suspected to have a disease" and others. Cadiotocography dataset will be used to analyse the data.


    Skills Required for the project
    GitHub Python Machine learning python with automation

    Duration: 3 Hours

    Project : 5

    Principal Component Analysis (PCA)


    You will read sample iris dataset and use PCA to figure out the most important principal features in this project. You will reduce the numbers using PCA. You will train and test the random forest classifier algorithm.


    Skills Required for the project
    GitHub Python Machine learning python with automation

    Duration: 3 Hours

    Project : 6

    K-means Clustering


    You will primarily analyze the given data, extract columns from dataset and visualize data in this project. You will use elbow method to find data to be segmented, k-means clustering and segment data into k-groups and more.


    Skills Required for the project
    GitHub Python Machine learning python with automation

    Duration: 3 Hours

    EVISION Certification is Accredited by all top IT MNC's as in Wipro, TCS, IBM,Infosys,HCL Technologies. We provide Certification after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.


    Our certification at Evision Technoserve is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects course which will encourage and add to trainee’s resume to explore a lot of opportunities beyond position.

    EVISION Trainer's Profile for Machine learning Training


    XYZ Sr. Developer Wipro

    About Trainer


    XYZ is an AWS solutions architect and Database Expert. He has over 15+ years of experience working with investments banks across the globe. He has authored courses on AWS solutions architecture and Database migration.


    EVISION'S Machine learning Trainers are:


    • Truly expert and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications.
    • Have recognized in various IT Organizations & Are Well connected with Hiring HRs in multinational companies.
    • Working professionals working in MNC's such as HCL Technologies, TCS, IBM, etc.
    • Certified Professionals with 10+ years of experience.

At Evision, our expert ensured that they will equips with skills to apply for the best jobs in top MNCs with desired salaries.
Also, will get lifetime access to videos, course materials and 24/7 learning support.
Candidate will get master in skills needed to create a Terraform roadmap, monitor key performance indicators, and measure the critical success factors.
Upon the successful completion of the training, candidate will be awarded the Intellipaat Terraform certification.
Hence, it's clearly a one-time investment.

Clearly, this course is of 45 days duration with 100 percent job guarantee in top IT MNCs.
For more query, WhatsApp on no. 9811722065.

At Evision, candidate can enroll in the instructor-led online training.
All trainers at Evision have 10+ years of relevant industry experience which has made them subject matter experts.
Go through our demo class to check the quality of our trainers.

Evision have 24/7 query management team, and you can raise your issue with our dedicated support team at any time.
You can also avail of email support for all your queries.
If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team.

Evision is offering the most updated, relevant, and high-value real-world projects as part of the training program.
This way, we can implement the learning that candidate have acquired in real-world industry setup.
All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry ready.

Evision actively provides job placement guarantee to all candidate who have successfully completed the training.
For this, we are exclusively tied-up with over 250 plus top MNCs.
This way, you can be placed in outstanding organizations such as Wipro, IBM, TCS, HCL Technology, Infosys, among other equally great enterprises.
We also help you with the job interview and résumé preparation as well.

Once you successfully complete Evision’s training program, working on real-world projects and assignments and scoring at least 60 percent marks in the qualifying exam, candidate will be awarded Evision’s course completion certificate.
This certificate is globally accredited, including top MNCs from around the world.

Please visit our company websites: www.evisions.co.in Or WhatsApp on 9811722065.