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Best Machine Learning Course

Join India’s top-ranked best machine learning course and gain the skills you require to land that dream job with an excellent package!
Our course is beginner-friendly and easy to understand with expert-led training.

Machine Learning Course

In the era of data explosion, extracting information from data has to be the job of the era, no choice at all in that matter. Using data science organizations study the data available for valuable information about market patterns which in turn will help the business have an edge over the competitors. Learn Digital Academy is one of the most trusted as well as a reputed institution that provides the Best Machine Learning Course.

Data Science deals with data collection, cleaning, analysis, visualization, model creation, model validation, prediction, designing experiments, hypothesis testing, and much more. It is used extensively by companies like Amazon, Netflix, the healthcare sector, in the fraud detection sector, internet search, airlines, etc.

On the other hand, machine learning gives computers the ability to learn from data without explicitly programming.  This comes in handy in the process of data science as in data science one needs to extract information from data.

Machine Learning COURSE in bangalore - MODULES

Mathematics for Machine Learning

Supervised, Unsupervised Machine Learning

Natural Language processing

Time Series Analysis

Reinforcement Learning

Artificial Neural Networks

Pg Diploma In Machine Learning - Key Highlights

machine learning course

YOU WILL LEARN HERE

  • Project and use-cases derived from businesses.
  • 100% Placement assistance.
  • Dedicated training programs for Non – IT Professionals.
  • Backup classes and access to the LMS.
  • Flexible online training sessions
  • Free Technical Support.
  • Extensive Coverage
  • Hands-On Programming in Class
  • Regular Assignments and Tests.
  • Capstone Projects on different domains

eligibility criteria and duration

ELIGIBILITY

Anyone with a desire to learn

COURSE DURATION

100 hours

ACADEMIC PARTNER

Jain University

Curriculum

Defining Data Science and what Data Scientists do, Data Science and skills required, what is Big Data and how is it connected to Data Science, what is Machine Learning.

Business understanding, data acquisition and understanding, modelling, deployment

Supervised Machine Learning, Unsupervised Machine Learning, Regression Analysis, Classification, Clustering, Deep Learning vs Machine Learning, Artificial Intelligence, Natural Language Processing, Time Series Analysis, Reinforcement Learning

Types of data, Data Summarization, Measures of Central Tendencies, Measures of Central Dispersion, Data Visualization, Correlation Matrix

Probability Distributions, Normal Distribution, Standard Normal Distribution ( Z Distribution), F-Distribution, Chi-Square Distribution, Binomial Distribution, Poisson Distribution, QQ Plot

Population and Samples, Sampling methods, Sampling Bias, Sampling Error, Central Limit Theorem, Confidence Interval

Hypothesis Testing, Null and Alternate Hypothesis, Type 1 and Type 2 Errors, P Value, Level of Significance, Parametric Tests, Non-Parametric Tests.

Vectors, Line, Linear Equations, Planes, Matrix, Matrix Operations, Eigenvalue’s, Eigen Vectors, PCA, Singular Vector Decomposition

Simple Linear Regression, Bias Variance Trade-off, Overfitting and Underfitting, Generalization Error and Regularization, Multiple Linear Regression, Hyperparameter Tuning, Cross Validation, Model Evaluation, Accuracy, RMSE,  Lasso, Ridge and Polynomial Regression, Case Study

Binary Classification, Multiclass Classification, Logistic Regression, Decision Tree, Naïve-Bayes, Support Vector Machine (SVM), K-Nearest Neighbour(KNN), Neural Network, Case study

Model Performance Assessment, Confusion Matrix, Precision, Recall, F1-Measure, ROC Curve

Random Forest, Bagging, Gradient Boosting, AdaBoost, XGBoost, Case Study

K-Means Clustering, Hierarchical Clustering, Clustering Validation Statistics, Dimensionality Reduction with Principal Component Analysis(PCA), Association Rule, Case Study

  Language used: python

  Tools used: anaconda, Jupyter lab, sublime text

  libraries used: nltk, numpy

Processing Text, Removing Special Characters, Tokenization, Stemming, Lemmatization, Removing Stopwords, POS Tagging, N-Grams, Shallow Parsing, Text Representation, Building a Text Corpus, Bag of Words Model, Bag of N-Grams Model, TF-IDF Model, Topic Models, Latent Semantic Analysis(LSA), Linear discriminant analysis (LDA)

  Language used: python

  Tools used: anaconda, Jupyter lab, sublime text

  libraries used: scikit-learn, Pandas, numpy, Matplotlib, seaborn

Time Series Data, Autoregressive Models, Autocorrelation, Moving average smoothing, Autoregressive Moving Average (ARMA), Time Series Components, Decomposition

  Language used: python

  Tools used: anaconda, jupyter lab, sublime text

  libraries used: tensorflow, keras

Perceptron, Gradient descent, Cost functions, Backpropagation, Weight Initialization, Activation functions, TensorFlow, Keras, Sequential Models, Functional APIs, Convolutional Neural Networks, Recurrent Neural Networks.

  Language used: python

  Tools used: anaconda, Jupyter lab, sublime text

  libraries used: numpy, openai gym

How Agents Use and Update Their Strategy, Discrete or Continuous Actions, Optimization Methods, Policy Evaluation and Improvement, Reward Engineering, Multi-Arm Bandit Testing, Markov Decision Processes, Policies and Value Functions, Q-Learning, n-Step Algorithms.

  Language used: python

  Tools used: anaconda, jupyter lab, sublime text

  libraries used: numpy, pandas, surprise

Collaborative filtering, Content-based systems, Knowledge-based recommenders, Evaluation

Learning Path

Mathematics For Machine Learning

MACHINE LEARNING

Natural Language Processing

NATURAL LANGUAGE PROCESSING

Time Series Analysis

Reinforcement Learning

REINFORCEMENT LEARNING

Artificial Neural Networks

Program Highlights

This expansive learning path will help you excel across the entire data science technologies and techniques.

Mastering the field of data science begins with understanding and working with the core technology used for analyzing.

Once master data management and predictive analytic techniques, you will gain exposure to state-of-the-art machine learning technologies.

You’ll be expertise in complex data science algorithms and their implementation using Python.

WHY CHOOSE LEARN DIGITAL ACADEMY

  • What sets Learn Digital Academy apart from other institutes proving similar courses is that we are not only a training institute, we are part of the industry itself, providing solutions to our clients through our parent company Web i7 Digital.
  • Having placed 100+ candidates in different companies we have a clear-cut picture of what the industry is looking about.
  • This knowledge allows us to create courses with respect to the gap in the skillset the industry is facing. We had very precisely selected topics as per the requirements of the industry and our experienced trainers are capable of handling topics in-depth.
  • The plus of being a brand in the industry is that placement services are effective.
  • To Summaries we offer the best courses as per the industry requirements and with our experienced trainers and effective placement services we are your best choice.
machine learning certification

Map Your Future In

Data Scientist

Business Analyst

Map Your Skill

Data Visualization Expert

Data Analyst

SKILLS YOU WILL GAIN

Data Science

Machine Learning

Natural Language Processing

Time Series Analysis

Time Series Analysis

Reinforcement Learning

Deep Learning

Statistical Analysis

INDUSTRY TRENDS

·        According to Gartner, by the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures.

·        Within the current pandemic context, AI techniques such as machine learning (ML), optimization and natural language processing (NLP) are providing vital insights and predictions about the spread of the virus and the effectiveness and impact of countermeasures.

·        AI techniques such as reinforcement learning and distributed learning are creating more adaptable and flexible systems to handle complex business situations.

·        By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modelling.

·        Augmented data management uses ML and AI techniques to optimize and improve operations.  It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems.

·        Blockchain technologies address two challenges in data and analytics. First, Blockchain provides the full lineage of assets and transactions. Second, Blockchain provides transparency for complex networks of participants.

machine learning online course

languages and tools covered

Job Opportunities in Machine Learning

Data Scientists are needed for businesses in every Industry. Even fortune companies as  Google, Amazon, Apple, Facebook, Microsoft need data science experts who have in-depth knowledge of data extraction, data mining, visualization, etc. Some of the leading data science careers are,
  • Business Intelligence Developer
  • Data Architect
  • Applications Architect
  • Industry Architect
  • Enterprise Architect
  • Data Scientist
  • Data Analyst
  • Data Engineer
machine learning course in bangalore

Who can learn this Machine Learning Course?

This Data Science course is best for individuals who are looking to transform their careers. People who have the passion to use the data, analyze, visualize, and use it for the betterment of the Business and society.For those mathematics enthusiasts, who can apply math’s in real life and solve complex business challenges.

This is specifically ideal for the people who are
  • Analysts and Software engineers
  • looking for a career shift in the data science stream.
  • Fresher’s who want to start the career as we teach from the basics and gradually build up your skills.
  • Individuals who are graduated and working in the Data Science field and looking to upgrade their careers.
Transform your career as a Data Scientist
The fuel of 21st Century
More Jobs and High Salary
Skills Demand
A lucrative career
Data Science is a future
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Batches Completed
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Students Trained
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Experienced Trainers

CERTIFICATION BY

OUR CERTIFICATES

Our Achievements

OUR RECRUITERS

FAQ's

·   This course is designed for candidates who are already into data science but need to refresh or extend their knowledge. A workshop on python libraries NumPy, Pandas and Seaborn can be availed additional if you lack knowledge of these libraries. If you are fresh to Python, Master’s in Data Science course is advised.

Data Science is a versatile field that has found applications in every industry, including healthcare, banking, e-commerce, business, and consultancy services.While Data analyst,Data scientist, and data engineer broadly describe the different roles data experts can play at a company.

The most important trait among data scientists aren’t technical degrees, or the amount of time spent in school. It’s the curiosity that pulls them to hard problems and pulls out solutions and new insights from old datasets. You can get into data science from a non-technical background and do the same thing.

Of course! While studying a course with Learn Digital Academy, you’re assigned a dedicated Program Mentor who not only supports you academically, but also guides you on the most suitable career path. Throughout the course, your Program Mentor will encourage you to finish projects, engage in classes and get the most out of this Course

A degree holder from science/commerce background who is willing to upgrade and shape up their career in the field of Data Science can take up the course.

In Simple words Data Science is all about getting meaningful information from large amount of complex data. it is basically an extension of various data analysis fields such as data mining, predictive analysis and many more.

Of course! While studying a course with Learn Digital Academy, you’re assigned a dedicated Program Mentor who not only supports you academically, but also guides you on the most suitable career path. Throughout the course, your Program Mentor will encourage you to finish projects, engage in classes and get the most out of this Course

Data science can add value to any business who can use their data well. From statistics and insights across workflows and hiring new candidates, to helping senior staff make better-informed decisions,data science is valuable to any company in any industry.

Classes will be both Online /Offline, Weekday/Weekends as per your Convenience and Comfort.

Always there will be a backup class for every class.

Yes, we Provide TOP Interview Questions and Answers which are frequently asked in interviews, Latest tips and tricks to clear your technical rounds.

Candidate must have at least 80% attendance for each module and should have knowledge of all the modules that has been taught.

HOW TO GET STARTED

Learn Digital Academy
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