Course Description

Unlock the Power of Machine Learning with Python - Join NearLearn's Comprehensive Course Today!

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!

Benefits of Machine Learning with Python Course:

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.

Discover the Power of Machine Learning with Python Today!

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.

Enroll Yourself Today

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.

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.

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.

  • 1.Predicting Housing Price
  • 2.Predicting a business deal outcome (win or loss)
  • 3.Predicting sales performance of newly on-boarded dealer/distributors
  • 4.Predicting credit card defaulter (Yes or No)
  • 5.Predicting commodity price
  • 6.Customer segmentation
  • 7.Time series forecasting
  • 8.The objective of the projects is to provide a perspective of the technical challenges faced by any data scientist in real-life scenarios.

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.

Course Curriculum

INTRODUCTION TO DATA SCIENCE WITH ARTIFICIAL INTELLIGENCE

Lecture1.1 Data science & its importance
Lecture 1.2: Key Elements of Data Science
Lecture 1.3: Data Warehousing
Lecture 1.4: Business Intelligence
Lecture 1.5: 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:
Lecture1.12 What is Artificial Intelligence & its importance
Lecture1.13 Artificial Intelligence vs Machine Learning
Lecture 2.1: What is Machine Learning (ML)?
Lecture 2.2: How machines learn
Lecture 2.3: Types of learning: Supervised, Semi-supervised, Unsupervised, Reinforcement
Lecture 2.4: Basics of Classification, Regression and Clustering algorithms
Lecture 2.5 Creating your first Prediction Model
Lecture 2.6 Training & Model evaluation
Lecture 2.7 Choosing Machine Learning algorithm
Lecture 3.1 A quick refresh on basic intermediate maths
Lecture 3.2 Linear Algebra (Vectors, Matrix, Eigen Values)
Lecture 3.3 Probability and Statistics
Lecture 3.4 Hypothesis testing
Lecture 3.5 Optimization
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
Lecture4.7 Object-Oriented Programming
Lecture4.8 Modules and Packages
Lecture4.9 Errors and Exception Handling
Lecture4.10 Milestone Project
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.]
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
Lecture5.10 Principal Component Analysis
Lecture 6.1 Supervised Machine Learning algorithms
Lecture 6.2 Linear Regression
Lecture 6.3 Logistic Regression
Lecture 6.4 Decision/Classification
Lecture 6.5 Tree Ensemble Models
Lecture 6.6 Bagging
Lecture 6.7 Boosting
Lecture 6.8 Random Forest
Lecture 6.9 K-Nearest Neighbours (KNN)
Lecture 6.10 Naive Bayes
Lecture 6.11 Neural Network (Deep Learning)
Lecture 6.12 Support Vector Machine
Lecture 6.13 Unsupervised Machine Learning algorithms
Lecture 6.14 Clustering with K-means Clustering
Lecture 6.15 Bias-Variance Trade off
Lecture 6.16 Regularization
Lecture 6.17 Parameter tuning & grid search optimization
Lecture7.1 Real life cases with Python
Lecture8.1 Students would be given challenging real life cases to solve – just to augment their learning skills.

Student Reviews

Shubham

Shubham

"I have enrolled for NearLearn Machine Learning with Python Course Training. The Session was very Nice. The trainer is knowledgeable and his skills of explaining the concepts are awesome."

Sneha Deshpande

Sneha Deshpande

"I am satisfied with the Machine Learning workshop conducted by NearLearn. The instructor explained course objectives clearly. Made class enjoyable as well as educational."

Rudranee

Rudranee

"Machine Learning Training session was good. I am satisfied about this course. The training experience will be useful in my work. Course explanation was very clear and understandable."

Sample Certificate

Machine Learning Certificate