Data Science & Machine Learning
Course Highlights
- Introduction to Data Science
- Python with Data Science
- Matplotlib Module
- Scipy
- Scikit
- Machine Learning
- Data Science & Machine Learning
- understanding Machine Learning
- Theano
- Trensorflow
- Importance
- Artificial intelligence
Data Science & Machine Learning Course Details
1) Matplotlib Module
- Introducation
- Environment Setup
- Anaconda Distribution
- Juypter Notebook
- Pyplot API
- Simple Plot
- PyLab Module
- Axes Class
- Figure Class
- Multiplots
- Subplots() Function
- Subplot2grid() Function
- Grids
- Formatting Axes
- Twin Axes
- Bar Plot
- Histogram
- Pie Chart
- Scatter Plot
- Contour Plot
- Quiver Plot
- Box Plot
- Violin Plot
- 3-dimensional Plotting
- 3D Contour Plot
- 3D Wireframe Plot
- 3D Surface Plot
- Working With Text
- Mathematical Expressions
- Working with Images
- Transforms.
2) Scipy
- Introducation
- Environment Setup
- Basic Functionality
- Cluster
- Constants
- FFT pack
- Integrate
- Interpolate
- Input and Output
- Linalg
- Ndimage
- Optimize
- Stats
- CSGraph
- Spatial
- ODR
- Special Package
3) Scikit
- Introducation
- Modelling Process
- Data Representation
- Estimator API
- Conventions
- Linear Modeling
- Extended Linear Modeling
- Grandient Descent
- Support Vector Machine
- Anomaly Detection
- K-MearestNeighbours
- KNN Learning
- Classification with Naïve Bayes
- Decision Trees
- Rendomized Decision Trees
- Boosting Methods
- Clustering Methods
- Clustering Performance Evaluation
- Dimensionality Reduction using PCA
4) Theano
- Introducation
- Installation
- A Trivial Theano Expression
- Expression for matrix Multiplication
- Computational Graph
- Data types
- Variables
- Shared Variables
- Functions
7) Trensorflow
- Introducation
- Installation
- Understanding Artificial Intelligence
- Mathematical Foundations
- Machine Learning Learning& Deep Learning
- TensorFlow Basics
- Convolutional Neural Networks
- Recurrent Neual Networks
- TensorBoard Visualization
- TensorFlow- WordEmbedding
- Single Layer Perceptron
- Linear Regression
- TFLearn and its installation
- CNN and RNN Difference
- Keras
- Distributed Computing
- Exporting, Multi-Layer Perceptron Learing
- Hidden Layers of Perceptron
- Optimizers
- XOR Implementation
- Gradient Descent Optimization
- Forming Graphs
- Image Recongnition using TensorFlow
Small Batches
Mentoring By Experts
Flexible Schedule
Learn By Doing
Goal Oriented
PUT YOUR LEARNING TO WORK
A pathway to supervised projects
Use your course work to build a portfolio and demonstrate readiness for the US Project Lab. Selected students may contribute to suitable internal projects or approved client assignments connected with Vialynx and Agenticures, remotely from India.
Selection depends on practical skills, communication, reliability, mentor capacity and available work. Course enrolment does not guarantee an internship, client assignment or employment. Any assignment’s scope, duration and compensation are agreed separately in writing.
See the selection process and example briefs →How a batch runs
Classes are online or at F-19/8, 3rd Floor, Sector 8, Rohini, Delhi – 110085. You get project work, a training certificate, and placement assistance. Advertised course fees include GST. Confirm the timetable, teaching hours, trainer, software costs and any instalment terms before enrolling. Ask the counselling desk about the next start date — call 18008913982.
Learn in a real classroom
Classes run in our lab at F-19/8, 3rd Floor, Sector 8, Rohini, Delhi – 110085 in batches of up to 8 students, with a trainer beside you, or live online. Come for a free demo class and see it for yourself.
Frequently asked questions
What is the fee for Data Science & Machine Learning?
The fee is ₹18,999, GST included. Easy EMI is available on the diploma and longer courses; the counselling desk explains the current plan and the next batch date.
How long is Data Science & Machine Learning?
The course runs for 4 months. Weekday and weekend batches are available.
Are classes online or at the Rohini campus?
Both. You can study at the Coding Bytes campus in Sector 8, Rohini, Delhi, or join live, instructor-led online classes. You can book a free demo class first.
Who can join this course?
Students who have completed Class 12, graduates and working professionals can join. Basic English and basic computer knowledge are needed.
Will I get a certificate?
Yes. You receive a Coding Bytes course certificate when you complete the course. Coding Bytes is an ISO 9001:2015 certified institute.
Do you help with placements?
Yes. Every student gets placement assistance: interview preparation and help finding openings. It is assistance, not a job guarantee.