Pinned Repositories
Age-and-Gender-Recognition-and-face-detection
Automobile-engine-test-results
Convolutional-Neural-Networks
Coursera
coursera-Advanced-Machine-Learning-specialization
Repo for coursera specialization Advanced Machine Learning by Higher School of Economics
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Deep-Learning-for-NLP-Creating-a-Chatbot
Repository for series of Medium Articles introducing Deep Learning for NLP.
Dota2-kda_ratio-prediction-
Felicity : Kings of Machine Learning hackathon in analytics vidhya
Mathematics-for-Machine-Learning
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in maths - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialisation aims to bridge that gap, getting you up to speed in the underlying maths, building an intuitive understanding, and relating it to Machine Learning and Data Science. In the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them. The second course, Multivariate Calculus, builds on this to look at how to optimise fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting. The third course, Dimensionality Reduction with Principal Components Analysis, uses the maths from the first two courses to do simple optimisation for the situation where you don’t have an understanding of how the data variables relate to each other. At the end of this specialisation you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.
Salary-Prediction
taxi-trip-duration
predicting the time duration taken to drop a person by taxi
rahulkobbajigari's Repositories
rahulkobbajigari/Data-Science-module-WQU
rahulkobbajigari/taxi-trip-duration
predicting the time duration taken to drop a person by taxi
rahulkobbajigari/Dota2-kda_ratio-prediction-
Felicity : Kings of Machine Learning hackathon in analytics vidhya
rahulkobbajigari/Salary-Prediction
rahulkobbajigari/Age-and-Gender-Recognition-and-face-detection
rahulkobbajigari/Automobile-engine-test-results
rahulkobbajigari/Convolutional-Neural-Networks
Coursera
rahulkobbajigari/Mathematics-for-Machine-Learning
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in maths - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialisation aims to bridge that gap, getting you up to speed in the underlying maths, building an intuitive understanding, and relating it to Machine Learning and Data Science. In the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them. The second course, Multivariate Calculus, builds on this to look at how to optimise fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting. The third course, Dimensionality Reduction with Principal Components Analysis, uses the maths from the first two courses to do simple optimisation for the situation where you don’t have an understanding of how the data variables relate to each other. At the end of this specialisation you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.
rahulkobbajigari/coursera-Advanced-Machine-Learning-specialization
Repo for coursera specialization Advanced Machine Learning by Higher School of Economics
rahulkobbajigari/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
rahulkobbajigari/Deep-Learning-for-NLP-Creating-a-Chatbot
Repository for series of Medium Articles introducing Deep Learning for NLP.
rahulkobbajigari/Deep_Learning
Deep Learning Specialization
rahulkobbajigari/DHS2019_HackSession_NLP
Codes used for the hack session in DHS 2019
rahulkobbajigari/Handwriting
Code and procdures for handwriting object detection and recognition
rahulkobbajigari/Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization
rahulkobbajigari/learnopencv
Learn OpenCV : C++ and Python Examples
rahulkobbajigari/neural-network-and-deep-learning
rahulkobbajigari/Santander-Customer-Satisfaction
Research internship(INSOFE)
rahulkobbajigari/Stanford-University
rahulkobbajigari/text-mining-and-NLP