Data Science & Machine Learning - Rooman Technologies

Data Science & Machine Learning

Learn to analyze data and build predictive models using machine learning techniques.
100% Placement Assistance | 1000+ Hiring Partners
4.5/5
15294 Learners Enrolled

Program Duration : 350 Hrs

At 15 - 20 hrs/week

Classroom Based

Learning format

About Program

In today’s world led by technology and big data, businesses are increasingly turning to data science and machine learning to gain critical insights, make informed decisions, and maintain a competitive edge. Our curriculum offers hands-on experience with essential tools and libraries like Python, TensorFlow, and Support Vector Machine (SVM). These practical and holistic skills are highly valued in the job market, ensuring you are well-equipped for a successful career. By the end of Rooman’s rigorous training sessions, you will have the professional capability to analyze complex datasets proficiently. You’ll be ready to pursue roles such as Data Scientist, Machine Learning Engineer, and Business Analyst, positioning yourself for success in this rapidly growing field.

Course Curriculum

  • Element of Reinforcement Learning
  • Models, Values and Policies
  • Markov Chains
  • Monte Carlo Methods
  • Temporal Difference
  • Robotics and Gym Environment
  • AutoEncoders
  • GANs
  • Attention Mechanism
  • Artificial Neural Networks In Python
  • Activation Functions
  • Optimizers
  • Tensorflow / Keras
  • Pytorch / Lightning
  • Types of Deep Learning Algorithms
  • Computer Vision
  • Transfer Learning
  • CNN Based Architectures
  • Recurrent Neural Networks
  • Natural Language Processing
  • Unix based OS (Ubuntu)
  • Containerization
  • Django Web Framework
  • AWS
  • Github
  • Regularization
  • Logistic Regression
  • Support Vector Machine (SVM)
  • Time Series
  • Cross-Validation Techniques
  • Evaluation Metrics
  • Ensembling
  • Unsupervised Learning
  • Clustering
  • Dimensionality Reduction
  • Introduction to Machine Learning
  • EDA and Data Wrangling
  • Scaling and Preprocessing
  • Feature Selection and Extraction
  • Modelling and Pipelining
  • Regression Analysis
  • Polynomial Regression
  • Decision Tree
  • K Nearest Neighbors
  • Naïve Bayes
  • Statistics
  • Hypothesis Testing
  • Power BI
  • R Language
  • Basic Language
  • Advance Concepts
  • Data Structures
  • Numpy
  • Data Manipulation with Pandas
  • Data Visualization

Salary Scale

Maximum
15 LPA
Average
11 LPA
Minimum
6.5 LPA

Job Role

Training Option

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What Students Say

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Shams W.Pawel Founder & CEO of XpeedStudio

Behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarks grove right at the coast

Shams W.Pawel Founder & CEO of XpeedStudio

Behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarks grove right at the coast

Shams W.Pawel Founder & CEO of XpeedStudio

Behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarks grove right at the coast

Shams W.Pawel Founder & CEO of XpeedStudio

Behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarks grove right at the coast

Shams W.Pawel Founder & CEO of XpeedStudio

Behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarks grove right at the coast

Shams W.Pawel Founder & CEO of XpeedStudio

Behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarks grove right at the coast

Shams W.Pawel Founder & CEO of XpeedStudio

Behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarks grove right at the coast

Salary Scale

Maximum
10 LPA
Average
5 LPA
Minimum
3.5 LPA

Job Role

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