Free self-learning platform for Python and Machine Learning
We borrowed contents and code examples from multiple open source contributions
to democratize learning in AI/ML/NLP technologies
We borrowed contents and code examples from multiple open source contributions
to democratize learning in AI/ML/NLP technologies
A complete list of source codes and practice challenges for your immediate reference
You will be learning basic concepts in pyhton and kick start with your simple python programming tasks
Explore and understand how data is represented in mult-dimensional space
Explore different types of algorithms and understand how they work with an example
Explore end to end ML pipeline for building classification and regression models
Use this simple labeling tool to create Pascal VOC train data for object detection training
Explore hyper parameters of ANN and their respective impact on classification decision boundry
Create, Modify and explore Neural Network architectures with Layers and Neurons
Learn fundamentals to advanced concepts wtih 100% practical sessions to become Data Analyst or Data Scientist. Courses delivered end-to-end from expereinced industry experts. We have highest standards of commitment to provide practical learning in the field of data science.
You will learn Python, Data Structures, Data Frames, Data pre-processing, Statistics, Data Visualization, Text Mining and Basics of Machine Learning. Python assessments will be done and you will be working on a capstone project solving complex data problems. In addition, resume writing and Interview preparation support will be provided.
You will learn Python, Data Structures, Data Frames, Data pre-processing, Statistics, Data Visualization, Text Mining, Natural Language Processing, Machine Learning, Deep Learning, Image processing and Computer Vision. A Machine learning capstone project will be assigned. Python and ML assessments will be done. In addition, resume writing and Interview preparation support will be provided.
You will learn Advanced Python, Algorithms such as Cryptology, Sorting, Numerical Methods, Graph Theory, Dynamic Programming. Machine Learning, Deep Learning, NLP, Image processing and Computer Vision. Hands-on with Server based and Serverless Cloud Deployments of ML models, A fullstack ML capstone project will be assigned. Python and ML assessments will be done. In addition, resume writing and Interview preparation support will be provided.
A one month practical work experience program for final year students and fresh graduates looking for AI/ML as career.
Students doing BE/B.Tech/B.Sc/BCA or relevant Master degree
Learn end-to-end ML project development.
Learn to explain the need of the ML for given problem.
Learn to explain ML algorithms, how it works at high level.
Learn to explain the model evaluations with relevant metrics.
Learn to handle ML interviews and technical writeups.
Resume Building
Social media profile and growth options
ML and Python assessments
Learn industrial requirements in data roles
Interview preparation
Project technical documentation
Best coding practices
Problem solving exercise
Mock interviews and feedbacks
