Anup Kumar Mishra's repositories
Learning-Python
Learning Python
AI-PacMan-Projects
Implemented various AI algorithms in Pac-Man projects developed by UC Berkeley. Implemented informed/blind state-space search using search algorithms like BFS, DFS, UCS and A* algorithm with heuristic calculation. Designed an algorithm for reflex agent, minimax and alpha-beta pruning. Reinforcement Learning using MDP (Value Iteration and Policy Evaluation) - Implemented Markov Decision process using Value iteration in the Pacman World. Designed perceptron classifier for data classification. Developed applications using python. http://ai.berkeley.edu/project_overview.html
autoinsurancefraud
Auto insurance fraud detection using python
ComputerVision
Face & moving object recognition using OpenCV
Deep_Learning
Deep Learning using Keras and TensorFlow
Diabetes-Prediction
Diabetes Prediction
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
Handle-Imbalanced-Dataset
Handle Imbalanced Datasets using both under sampling and over sampling
labs
Rmd source files for the HarvardX series PH525x
Learning_Pyspark
Learning Pysparkin Google colab
LearningwithTensorFlowonGCP
End-to-End Machine Learning with TensorFlow on GCP
LifeExpectancy_LinearRegression
Study Life Expectancy using Linear Regression
Predicting-Insurance-Fraud
Exploring pipelining and hyper-parameter tuning techniques through the use of imbalanced insurance fraud data
Stock-Prediction-using-different-models
A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models performed.
SVM_Kernels
SVM (Support Vector Machine) Kernels Indepth Intuition And Practical Explanation