Machine Learning With Python Training in Hyderabad
ML | What is Machine Learning?
Arthur Samuel, a pioneer in the field of artificial intelligence and computer gaming, coined the term "Machine Learning". He defined machine learning as – "Field of study that gives computers the capability to learn without being explicitly programmed".
In a very layman manner, Machine Learning (ML) can be explained as automating and improving the learning process of computers based on their experiences without being actually programmed i.e. without any human assistance. The process starts with feeding good quality data and then training our machines (computers) by building machine learning models using the data and different algorithms. The choice of algorithms depends on what type of data do we have and what kind of task we are trying to automate.
Introduction To Machine Learning
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data.
Best Python Libraries for Machine Learning
Machine Learning, as the name suggests, is the science of programming a computer by which they are able to learn from different kinds of data. A more general definition given by Arthur Samuel is — "Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed." They are typically used to solve various types of life problems.
In the older days, people used to perform Machine Learning tasks by manually coding all the algorithms and mathematical and statistical formula. This made the process time consuming, tedious and inefficient. But in the modern days, it has become very much easy and efficient compared to the olden days by various python libraries, frameworks, and modules. Today, Python is one of the most popular programming languages for this task. Python libraries used in Machine Learning are:
- Numpy
- Scipy
- Scikit-learn
- Theano
- TensorFlow
- Keras
- PyTorch
- Pandas
- Matplotlib
Course Curriculum
- Statistical Analysis concept
- Descriptive Statistics — Mean, Median, Mode
- Linear Algebra: Scalars, Vectors, Matrices
- Mathematical Analysis: Derivatives and Gradients
- Gradient Descent: Building a simple Neural network from start
- Introduction to Probability
- Python Overview and setup
- An extensive set of Libraries — Pandas, NumPy, Scikit-learn, Seaborn, and Matplotlib
- NumPy for Statistical Analysis
- Data manipulation with Pandas
- Data visualization with Matplotlib and Seaborn
- Data cleaning — handling missing values and outliers
- Feature encoding — label encoding, one-hot encoding
- Feature scaling — normalization and standardization
- Exploratory Data Analysis (EDA) — understanding data patterns
- Train-test split and cross validation
- Linear Regression — simple and multiple
- Polynomial Regression
- Ridge and Lasso Regression
- Model evaluation metrics — RMSE, MAE, R-squared
- Hands-on: Predicting house prices using regression
- Logistic Regression
- Decision Trees and Random Forest
- Support Vector Machines (SVM)
- K-Nearest Neighbours (KNN)
- Naive Bayes Classifier
- Model evaluation — Accuracy, Precision, Recall, F1, ROC-AUC
- K-Means Clustering
- Hierarchical Clustering
- DBSCAN
- Principal Component Analysis (PCA)
- Dimensionality reduction techniques
- Hyperparameter tuning — Grid Search, Random Search
- Feature selection techniques
- Cross validation and overfitting prevention
- Ensemble methods — Bagging, Boosting, Stacking
- XGBoost and LightGBM
- What is Deep Learning? Neural Networks basics
- Artificial Neural Networks (ANN) — layers, activation functions
- Building Neural Networks with TensorFlow and Keras
- Convolutional Neural Networks (CNN) — image classification
- Introduction to Natural Language Processing (NLP)
- 50 datasets for practice across different domains
- 2 solid domain-specific live projects
- Machine Learning interview questions and answers
- Resume preparation for ML and Data Science roles
- Mock interviews with industry professionals
Overview — Data Science, ML & AI
Data science is a collection of research-based methods and processes often with difficulty insights from data. Machine learning in data science is an activity that will become ever more important as the amount of data available continues to increase, and the challenge of extracting discernment from the data follows.
This observation defines the difference among these three fields:
- Data science produces insights.
- Machine learning produces predictions.
- Artificial intelligence produces actions.
The Components Of Data Science
Data science contents like machine learning, R, Python and Deep learning is a combination of mathematics, programming, problem-solving, and data capturing in "inventive ways". It is also the ability to find patterns, along with cleaning, preparing, and aligning data.
Artificial Intelligence (AI)
The fabulous data science as an occupation is that it does not necessarily need a degree to get into the field. Skills in maths, statistics or operations research, business or many others, can be leveraged as long as they are supported by a base knowledge of mathematics and programming.
Neural Network
A neural network is either a system software or hardware that works similar to the tasks performed by neurons of human brain. Neural networks include various technologies like deep learning, and machine learning as a part of Artificial Intelligence (AI).
Why Should You 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 to 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 assists you with two career opportunities — one is machine learning engineer job and other is data scientist job, as machine learning acts 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
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 (basic familiarity with variables, functions, loops, etc in any language) 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.
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Machine Learning Training FAQs | VR IT Solutions
Machine Learning is a branch of AI that enables systems to learn patterns from data and make intelligent predictions without being explicitly programmed. It powers everything from fraud detection and medical diagnosis to product recommendations and autonomous vehicles, making ML engineers some of the most highly compensated professionals in the industry today.
You will learn Python for ML, NumPy, Pandas, Matplotlib, Scikit-learn, Supervised and Unsupervised Learning algorithms, Deep Learning basics, NLP, TensorFlow, and Model Deployment. All topics are taught through real-world projects that demonstrate how ML is applied in actual business contexts.
A basic understanding of statistics helps but is not mandatory. Our trainers explain all mathematical concepts in a practical, application-first manner so that students without a strong maths background can follow along and still build strong ML skills.
The training is completed in 45 to 60 days. Morning, evening, and weekend batches are available for both freshers and working professionals who want to transition into ML roles.
Valuable certifications include Google Professional Machine Learning Engineer, IBM Machine Learning Professional Certificate, and Microsoft Azure AI Engineer Associate. Our trainers guide you on which certification aligns best with your career goals and provide structured preparation support.
Entry-level ML engineers typically earn between 6 and 14 LPA in India. With 3 to 5 years of hands-on experience building and deploying ML models, professionals commonly earn 20 to 45 LPA in product companies and research-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