Machine Learning With Python Online Training in Hyderabad
Learn machine learning with Python online — NumPy, Pandas, supervised and unsupervised learning, deep learning, NLP and MLOps — working on 50 datasets and two domain-specific live projects.
G4.7★★★★★on Google 5000+ students trained- Duration
- 45 Days
- Mode
- Online & Classroom
- Batches
- Weekday & Weekend
- Hands-on
- 2 domain live projects
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Get a free demo session today!
Machine Learning Course Overview
The Machine Learning with Python course dives into the basics of Machine learning using a convenient and well-known programming language Python.
Course highlights
- 50 datasetsPractise on 50 datasets across the course.
- 2 domain-specific live projectsPlus Q&A and placement assistance.
- Classic ML to deep learningFrom regression and clustering to CNNs, NLP and generative models.
- Weekday and weekend batchesOnline and classroom training as per your convenience.
Skills you’ll learn
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, regression and time series models.
Machine learning, a vital topic in Artificial Intelligence has become a spark in today's technology. This field may offer a greater opportunity, and starting a career in this domain is not as hard as it seems to be. The most essential part of your journey of success is purely your interest and enthusiasm to learn all those things.
In your Machine Learning course journey, it's required to select the specific coding language right from the initial stage, as your option will determine the bright future. Python is the best choice for aspirants to make your focus strong in order to jump into the spotlight field i.e Machine Learning.
If you are a fresher, you don't know where to start learning and why you need Machine learning and why it is gaining more popularity, then you are at the right platform. VR IT Solutions is providing the Machine Learning with Python Classroom and Online training in Hyderabad, for beginners with all the needed information and useful resources to make them expert within a short span of time.
What You Will Learn?
- Data Types, Variables, and Operators
- Control Flow: if, else, for, while loops
- Functions and Lambda Expressions
- Exception Handling
- File Handling and I/O Operations
- Object-Oriented Programming (OOP) in Python
- Decorators, Iterators, and Generators
- Context Managers
- Python Modules and Packages
- Working with Dates and Times in Python
- Lists, Tuples, Sets, and Dictionaries
- Stacks, Queues, Linked Lists, Trees, and Graphs
- Searching and Sorting Algorithms
- Recursion and Dynamic Programming
- Algorithm Complexity: Big-O Notation
- Creating and Manipulating Arrays
- Broadcasting and Vectorized Operations
- Mathematical and Statistical Functions
- Working with Multi-dimensional Arrays
- Advanced Array Operations
- Series and DataFrame Objects
- Data Cleaning and Preparation
- Handling Missing Data
- Merging, Joining, and Concatenating DataFrames
- Grouping and Aggregating Data
- Creating Plots and Charts with Matplotlib
- Customizing Plots: Titles, Labels, Legends
- Advanced Plots: Heatmaps, Pair Plots, and Facet Grids
- Interactive Visualizations with Plotly
- Data Visualization Best Practices
- Overview of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
- Bias-Variance Tradeoff
- Evaluation Metrics: Accuracy, Precision, Recall, F1-Score, ROC-AUC
- Cross-Validation and Model Selection
- Data Preprocessing: Feature Scaling, Encoding, Normalization
- Linear Regression: Simple and Multiple Linear Regression, Regularization Techniques: Lasso, Ridge, ElasticNet, Polynomial Regression, Evaluating Regression Models
- Classification Algorithms: Logistic Regression, k-Nearest Neighbors (k-NN), Support Vector Machines (SVM), Decision Trees and Random Forests, Naive Bayes Classifier
- Ensemble Methods: Bagging and Boosting Techniques, Gradient Boosting Machines (GBM), XGBoost, LightGBM, and CatBoost, Stacking and Blending Models
- Clustering Algorithms: k-Means Clustering, Hierarchical Clustering, DBSCAN (Density-Based Spatial Clustering), Gaussian Mixture Models (GMM)
- Dimensionality Reduction: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), t-SNE and UMAP, Feature Selection and Extraction Techniques
- Anomaly Detection: Statistical Methods for Anomaly Detection, Isolation Forest, Autoencoders for Anomaly Detection, Applications of Anomaly Detection
- Basics of Reinforcement Learning
- Markov Decision Processes (MDPs)
- Q-Learning and Deep Q-Networks (DQNs)
- Policy Gradient Methods
- Applications of Reinforcement Learning in Industry
- Basics of Neural Networks and Perceptrons
- Activation Functions: ReLU, Sigmoid, Tanh
- Forward and Backward Propagation
- Loss Functions and Optimization: Gradient Descent, Adam
- Overfitting and Regularization: Dropout, Batch Normalization
- TensorFlow 2.x: Building and Training Models with Keras API, Customizing Models and Layers, Handling Large Datasets with tf.data, Model Deployment with TensorFlow Serving
- PyTorch: Building and Training Models in PyTorch, Autograd and Dynamic Computation Graphs, Transfer Learning with Pre-trained Models, Implementing Custom Loss Functions and Layers
- Advanced CNN Architectures: Convolutional Neural Networks (CNNs) Basics, Advanced Architectures: ResNet, Inception, EfficientNet, Object Detection with YOLO and SSD, Image Segmentation with U-Net and Mask R-CNN, Practical Applications: Computer Vision Projects
- Text Preprocessing: Tokenization, Stemming, Lemmatization
- Word Embeddings: Word2Vec, GloVe, FastText
- Sequence Models: Recurrent Neural Networks (RNNs), LSTMs, GRUs
- Attention Mechanism and Transformers
- Advanced NLP with BERT, GPT, and T5
- Sentiment Analysis, Text Classification, and Machine Translation
- Variational Autoencoders (VAEs)
- Generative Adversarial Networks (GANs): Conditional GANs, CycleGANs, Image Synthesis and Style Transfer
- Applications of Generative Models
- Building RESTful APIs for Model Serving
- Deploying Models with Flask, FastAPI
- Model Deployment on AWS, Azure, GCP
- Containerization with Docker for Model Deployment
- Scaling Models in Production
- Continuous Integration/Continuous Deployment (CI/CD) for ML
- Model Monitoring and Performance Tracking
- Automating Model Retraining Pipelines
- Data Versioning and Experiment Tracking with MLflow
- End-to-End MLOps Platforms: Kubeflow, TFX
- ARIMA, SARIMA Models
- LSTM for Time Series Forecasting
- Prophet for Time Series Analysis
- Advanced Forecasting Techniques
- Collaborative Filtering and Matrix Factorization
- Content-Based Filtering
- Hybrid Recommender Systems
- Deep Learning for Recommender Systems
- Face Recognition and Emotion Detection
- Autonomous Vehicles: Object Detection and Lane Detection
- Medical Imaging: Disease Detection and Diagnosis
- Bias and Fairness in Machine Learning Models
- Explainability and Interpretability of Models
- Ethical Considerations in AI Deployment
- Regulatory Compliance and Governance
- Data Collection, Cleaning, and Preprocessing
- Model Building, Tuning, and Evaluation
- Model Deployment and Monitoring in Production
- Documentation and Reporting of the Project
- Finance: Fraud Detection, Stock Price Prediction
- Healthcare: Predictive Modeling, Personalized Medicine
- Retail: Customer Segmentation, Demand Forecasting
- Social Media: Sentiment Analysis, Trend Prediction
Statistical Learning
In this module, you will learn the basics of mathematics in the field of analysis and Machine learning like mean, median and mode. Without a minor knowledge of math, you can't deal with Machine learning projects.
Why You Should Learn Machine Learning?
Machine learning offers you bright career opportunities
Machine learning career is blowing up, because the ML smart algorithms are used everywhere from email to mobile apps. And if you are in dilemma in choosing the most demanding and exciting domain, then gear up yourself with sparkling machine learning technology.
Machine learning Engineers can earn pretty high
Position yourself at the peak, as the cost of world-class machine learning professionals can be related best salaries.
ML jobs on the top rise
The job market for machine learning engineers is blistering, as top tech companies are in hire of people who can build a unique algorithm in ML and can grow their company. From the recent survey in Hyderabad IT Hub, the number of Machine learning jobs is steadily increased.
Machine learning is directly connected to data science
Machine learning technology assist you with two career opportunity — one is machine learning engineer job and other is data scientist job, as machine learning act as a shadow for data science. Data Scientist is elected as one of the most exciting jobs of the 21st century.
Why Choose Machine Learning Course at VR IT Solutions?
- Offers you both Classroom training and online training on weekends and weekdays, as per your convenience
- We are well-known for industrial relevant courses and interactive training
- We help students to build the excellent skills and empower them to come up as proficient experts who are prepared to chase the challenges in the machine learning field
- Well certified faculties who have years of experience assure you with best guidance to fulfil your dream goal
- Live projects to make the students understand practically
- We have tie up with top MNC's, consultancies globally to provide future placement to our students
- 50 no's of Data sets, 2 solid domain specific live project, Q&A with 100% placement assistance
- One of the Best Machine Learning Institute In Hyderabad
Why to Pursue Machine Learning?
Machine Learning Course in Hyderabad 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.
Classroom FAQs
What are prerequisites for this course?
Machine Learning is a highly interdisciplinary subject. Hence, basic understanding of the following Concepts is highly useful. Some background in programming is helpful.
- Linear algebra
- Probability theory
- Statistics & hypothesis testing
- Optimization methods
Do I get job assistance after the course?
VR IT Solutions has a dedicated job Assistance Team, who work with candidates on individual basis in assisting for right Machine Learning job.
Online Machine Learning Course Overview
VR IT Solutions is one of the leading Machine Learning Online Course Training Institute in Hyderabad — 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 Hyderabad from VR IT Solutions. 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.
From your first class to your first project at work
We stay with you after the course ends — through interviews, placement, and your first months on the job.
- Free demo classMeet the trainer and see how classes run before you pay.
- Live trainingOnline or classroom at Ameerpet, with hands-on practice every session.
- Real-time projectWork through a real implementation scenario from start to finish.
- Course certificateGet your course completion certificate from VR IT Solutions.
- Resume & mock interviewsResume review and practice interviews with experienced professionals.
- Placement assistanceInterview referrals and guidance until you get placed.
- Job supportStuck on a task in your new job? Our trainers help you solve it.
What our students say on Google
G4.7★★★★★See all reviews on GoogleHi I'm Dasararh
I have Join VRIT Solutions to transform my future. VRIT is the right place to sharpen your Salesforce training skills while gaining cutting-edge experience through real time examples and live projects. Faculty covered in real time examples and practical oriented I joined this course in 2025 and now working in a reputed healthcare company.I would strongly recommended to chose VR IT Solutions for Salesforce online training .
Thanks again for VR IT .
One of the top institutes for training, with faculty member Ashok Kumar being highly knowledgeable in the subject.
VR IT Solutions is one of the best training center for Clinical SAS in Hyderabad.I recently completed SAS training at VR IT Solutions, and it was an excellent experience...
The course covered Base SAS, SQL, Macros, and SDTM/ADaM mapping basics, especially for advanced topics like SAS Macros, making complex concepts easy to understand. which are extremely valuable for anyone aiming to build a career in Clinical SAS programming.
I highly recommend VR IT Solutions to anyone looking to build or advance their SAS career.
Preparing for Machine Learning interviews?
Read free interview questions and real-time scenarios with answers. Our students get all 6+ in the Job Ready Hub.
Batch timings
Pick a slot that fits around college or work. New batches start every month.
Book your slot- Morning7 – 9 AM
- Afternoon12 – 2 PM
- Evening6 – 8 PM
- WeekendSat & Sun
- Fast trackOn request
- One-to-one training
- Backup classes
- Free resume preparation
- Mock interviews
- Job support
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Get your course completion certificate
- Issued by VR IT Solutions when you complete the course and the real-time project
- Every certificate has its own certificate ID
- Add it to your resume and LinkedIn profile
Machine Learning Online Training in USA, UK & Canada
Looking for Machine Learning online training from the USA, UK or Canada? Join our live online batches from anywhere — classes run in time slots that suit your time zone, every session is recorded for revision, and you get the same real-time project, certificate and placement support as our Hyderabad students.
- USAEST & PST evening slots
- UKGMT / BST slots
- CanadaEST & CST slots
- WeekendSat & Sun, all time zones
Visit our Ameerpet centre
- 506/A, Aditya Enclave, Nilagiri Block, 5th Floor, Ameerpet, Hyderabad – 500016
- Monday to Saturday, 9 AM – 7 PM
- +91 90327 34343
- info@vritsol.com
Machine Learning Online Training FAQs | VR IT Solutions
All sessions are conducted live via online video conferencing with screen sharing and interactive Q&A. Every class is recorded so that you can revisit any topic at your own pace. Our trainers are the same industry professionals who teach classroom batches, so you get the same quality of instruction online.
You will learn Python for ML, NumPy, Pandas, Matplotlib, Scikit-learn, Supervised and Unsupervised Learning, Deep Learning basics, NLP, TensorFlow, and Model Deployment — all taught with real-world project scenarios.
The training is completed in 45 to 60 days. Flexible morning, evening, and weekend batch options are available so that you can learn without disrupting your existing schedule.
You can pursue roles like Machine Learning Engineer, Data Scientist, AI Developer, NLP Engineer, and Computer Vision Engineer. These roles are available across technology companies, financial institutions, healthcare organizations, and research labs.
Google Professional ML Engineer, IBM Machine Learning Professional Certificate, and Microsoft Azure AI Engineer Associate are among the most recognized certifications. Our trainers help you choose the right one based on your career goals and provide structured exam preparation support.
Entry-level ML engineers in India typically earn between 6 and 14 LPA. With 3 to 5 years of experience, professionals move into the 20 to 45 LPA range in product companies and AI-focused organizations.
Absolutely. VR IT Solutions offers free demo sessions for all courses. You can attend a live class, interact with the trainer, and get a feel for the training quality before making any commitment. Just reach out to our team and we will schedule one for you.
We provide end-to-end placement assistance — from building a job-ready resume to conducting mock interviews with industry experts. Our team actively shares job openings, refers students to hiring companies, and supports you until you land your first role.
Yes. Every trainer at VR IT Solutions has between 8 and 13 years of hands-on industry experience. They have worked on real enterprise projects and bring that practical knowledge directly into the classroom, which makes a significant difference when you face real job interviews.
Course Training
Industry-certified · Real-time projects · 100% Placement Support
Call us: +91-9032734343