Our team of industry expert provide in depth knowledge of machine learning online course including real-time projects, making you expert in developing algorithms by applying supervised and unsupervised learning, regressionand time series models.
Are you interested in learning how to harness the power of machine learning with Python? Look no further than NearLearn, where we offer comprehensive weekday and weekend courses designed to help you become an expert in this exciting field. Our course is carefully crafted to offer practical, hands-on training that equips you with the skills you need to become a Machine Learning Expert. Whether you have basic knowledge, a beginner, or an experienced professional, our course will help you take your skills to the next level and unlock new career opportunities.
Join our weekday or weekend classes and start your journey toward mastering Machine Learning with Python!
Career Opportunities
With the rising demand for Machine Learning experts in various industries, learning Machine Learning with Python can open up numerous career opportunities.
Hands-on Experience
You’ll get practical experience by working on live projects and applying the technique learned during the course to solve real-world problems.
Industry-Standard Programming Language
Python is one of the most widely used programming languages in the industry. Learning Machine Learning with Python will give you an edge in the job market.
Over the last few years, Machine Learning has been among the hottest technologies in the tech world for good reasons. Being able to harness the power of Machine Learning allows companies to take advantage of insights inaccessible before, allowing them to make sound decisions that assist their business in growing and succeeding.
NearLearn’s Machine Learning with Python course is designed to help you become a Machine Learning Expert, equipping you with the skills you need to solve real-world problems and drive business success.
This in-depth course is designed and taught by our industry experts professionals equipped with years of expertise. Their teaching methodology is student-centric, i,e, they don’t cover the course but are focused on learning and understanding. This allows students to understand the field’s concepts and approaches thoroughly.
With a focus on hands-on training, our course is designed to equip you with the skills you need to tackle real-world Machine Learning challenges.
Don’t wait any longer to discover the power of Machine Learning with Python. Enroll in our course today and build a successful career in this exciting field.
Why Machine Learning Course in NearLearn?
NearLearn is one of the leading Machine Learning Online Course Training Institute in Bangalore offers advanced learning methods making candidates to get overview of how huge amount of data is created, how to extract important company insights, methods employed to investigate structured and unstructured data, most advanced machine learning algorithms applied to develop advanced forecast models and how to envision data.
All these are determined and covered from online machine learning course in Bangalore from NearLearn. We provide practical case studies which are business related have been offering our learners stand out from the bottom and produce outstanding results from the most reputable companies. Our candidates have been dropping new steps in the corporate experience by enhancing industry-ready as soon as they finish from colleges.
Why to Pursue Machine learning?
Machine Learning Course in Bangalore is almost taking the globe in terms of support demand for tech companies, who are into the same domain and execute the projects on Machine Learning.
There is a tentative estimation for machine learning market expansion from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022.
What Advantages will you have with this Machine Learning with Python Certification Training?
Pursuing this course will make you being able to perform below:
- Identify different applications for machine learning based algorithms.
- Different learnings, which includes supervised and unsupervised.
- Performing supervised learning techniques such as linear and logistic regression.
- Understanding on data classifications and models.
- Development of robust Machine Learning models.
- Top algorithms among many for any given Machine Learning problem.
- Create accurate predictions and powerful analysis.
- Usage of unsupervised learning algorithms as Clustering & Segmentation.
Who Should Take Machine Learning Course?
There is a growing demand for skilled Machine Learning Engineers across all industries, making this Machine Learning certification course well-suited for participants at the intermediate level of experience. We recommend this Machine Learning Training particularly for the following professionals:
- Enthusiastic Software Developers to be a Data Scientist or Machine Learning Engineers.
- Managers from Analytics background.
- BA profile holders, who are willing to know about Data Science techniques.
- Software/Solution Architects, who want to have a strong hold on Machine Learning algorithms.
- Analytics candidates, who are opting to work in the domain of Machine Learning or Artificial Intelligence.
- Graduates seeking for building their career in Data Science and Machine Learning.
What projects are included in this Machine Learning Online Training Course?
Some of the real-life projects included in the Course are like:
- Predicting Housing Price
- Predicting a business deal outcome (win or loss)
- Predicting sales performance of newly on-boarded dealer/distributors
- Predicting credit card defaulter (Yes or No)
- Predicting commodity price
- Customer segmentation
- Time series forecasting
- The objective of the projects is to provide a perspective of the technical challenges faced by any data scientist in real-life scenarios.
Done with Machine Learning Course. What’s next?
Deep Learning & Artificial Intelligence (AI). These are surely going to be the next waves in the data science space. As we have started living in a ‘smart’ environment, AI is going to play an important role to build all the smart and autonomous systems; and potentially creating significant job opportunities in this field.
Are you looking for best online Machine Learning Course in Bangalore (BTM Layout, Malleswaram, Koramangala, Koramangala, Hebbal, Jayanagar, Banashankari, Ulsoon, Marathahalli, JP Nagar)? Reach us at info@nearlearn.com
Introduction to Data Science with AI Preview
- Lecture1.1 Data science & its importance
- Lecture1.2 Key Elements of Data Science
- Lecture1.3 Data Warehousing
- Lecture1.4 Business Intelligence
- Lecture1.5 Data Visualization
- Lecture1.6 Data Mining
- Lecture1.7 Machine Learning
- Lecture1.8 Artificial Intelligence
- Lecture1.9 Cloud Computing
- Lecture1.10 Big Data
- Lecture1.11 Artificial Intelligence: A preview
- Lecture1.12 What is Artificial Intelligence & its importance.
Introduction to Machine Learning
Lecture2.1 What is Machine Learning (ML)?
Lecture2.2 How machines learn
Lecture2.3 Types of learning: Supervised, Semi-supervised, Unsupervised, Reinforcement
Lecture2.4 Basics of Classification, Regression and Clustering algorithms
Lecture2.5 Creating your first Prediction Model
Lecture2.6 Training & Model evaluation
Lecture2.7 Choosing Machine Learning algorithm
Back to Basics (MATHS WITH STATISTICS)
Lecture3.1 A quick refresh on basic intermediate maths
Lecture3.2 Linear Algebra (Vectors, Matrix, Eigen Values)
Lecture3.3 Probability and Statistics
Lecture3.4 Hypothesis testing
Lecture3.5 Optimization
Python For Data Science
Lecture4.1 A quick crash course on basics of Python
Lecture4.2 Python Object and Data Structure
Lecture4.3 Python Comparison Operators
Lecture4.4 Python Statements
Lecture4.5 Methods and Functions
Lecture4.6 Milestone Project – 1
Lecture4.7 Object-Oriented Programming
Lecture4.8 Modules and Packages
Lecture4.9 Errors and Exception Handling
Lecture4.10 Milestone Project – 2
Lecture4.11 Built-in Functions
Lecture4.12 Python Decorators
Lecture4.13 Python Generators
Lecture4.14 Final Capstone Python Project
Lecture4.15 Advanced Python Modules
Lecture4.16 Advanced Python Objects and Data Structures
Lecture4.17 Advanced OOP
Lecture4.18 Parallel Processing
Lecture4.19 Python Packages [Statsmodels, Sci-kit Learn, Scipy, Numpy, Pandas, Matplotlib, Seaborn, etc.]
Data processing for Machine Learning
Lecture5.1 Data Collection & Preparation
Lecture5.2 Data Mugging
Lecture5.3 Outlier Analysis
Lecture5.4 Missing value treatment
Lecture5.5 Feature Engineering
Lecture5.6 Data Transformation
Lecture5.7 Normalization vs Standardization
Lecture5.8 Creating Dummies
Lecture5.9 Dimensionality Reduction
Lecture5.10 Principal Component Analysis
Advanced Machine Learning Algorithms
Lecture6.1 Supervised Machine Learning algorithms
Lecture6.2 Linear Regression
Lecture6.3 Logistic Regression
Lecture6.4 Decision/Classification
Lecture6.5 Tree Ensemble Models
Lecture6.6 Bagging
Lecture6.7 Boosting
Lecture6.8 Random Forest
Lecture6.9 K-Nearest Neighbours (KNN)
Lecture6.10 Naive Bayes
Lecture6.11 Neural Network (Deep Learning)
Lecture6.12 Support Vector Machine
Lecture6.13 Unsupervised Machine Learning algorithms
Lecture6.14 Clustering with K-means Clustering
Lecture6.15 Bias-Variance Trade off
Lecture6.16 Regularization
Lecture6.17 Parameter tuning & grid search optimization
Case Study and Projects
Lecture7.1 Real life cases with Python
Assignments
Lecture8.1 Students would be given challenging real life cases to solve – just to augment their learning skills.
Course Schedule
Sample Certificates
IABAC Certificate
AI & Machine Learning Video
Programming Languages & Tools Covered

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