Prady029

Prady029's Stars

• Farama-Foundation/Metaworld

  Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

  Language:Python1.3k29216271

• hse-aml/hadron-collider-machine-learning

  Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC

  Language:Jupyter Notebook9462213

• flowersteam/teachDeepRL

  Language:Python8112016

• PanpanZheng/SAFE

  Language:Python342010

• ankitsingh1240/CUSTOMER-CHURN-PREDICTION

  INSAIDINSTRUCTIONS:You are required to come up with the solution of the given business case.Business Context:This case requires trainees to develop a model for predicting customer churn at a fictitious wireless telecom company and use insights from the model to develop an incentive plan for enticing would-be churners to remain with company.Data for the case are available in csv format. The data are a scaled down version of the full database generously donated by an anonymous wireless telephone company. There are still 7043 customers in the database, and 20 potential predictors. Candidates can use whatever method they wish to develop their machine learning model. The data are available inone data file with 7043 rows that combines the calibration and validation customers. “calibration” database consisting of 4000customers and a “validation” database consisting of 3043customers. Each database contained (1) a “churn” variable signifying whether the customer had left the company two months after observation, and (2) a set of 20 potential predictor variables that could be used in a predictive churn model. Following usual model development procedures, the model would be estimated on the calibration data and tested on the validation data.

  Language:Jupyter Notebook10204

• abhichand26/vehicle-routing

  Vehicle Routing Pickup-Delivery scheduling is implemented, which used a meta-heuristic algorithm known as Tabu Search to determine the most efficient route for each vehicle.

  Language:Jupyter Notebook91

• abhichand26/kruskal-mst

  Implementation of Kruskal Algorithm to find minimum spanning tree using Union-Find method

  Language:C83

• niteshsukhwani/Electricity-Price-Forecasting-using-Hybrid-Model

  Language:Jupyter Notebook75

• abhichand26/sorting-algorithms

  Implementation of sorting algorithms like Bubble, Selection, Insertion, Merge, Quick and Heap Sort.

  Language:C6200

• niteshsukhwani/Apriori-Algorithm

  find the frequent itemset from a transaction dataset and give association rule corresponding to those.

  Language:Python50

• abhichand26/floyd-warshall-algorithm

  Implementation of Floyd–Warshall algorithm to find all-pair shortest paths

  Language:C3200

• abhichand26/longest-common-subsequence

  Program to find longest common sub-sequence using Dynamic Programming

  Language:C3200

• abhichand26/matrix-chain-multiplication

  Program to find minimum no. of multiplications required to find product of n matrices using Dynamic Programming

  Language:C33

• abhichand26/prims-mst

  Implementation of Prims Algorithm to find minimum spanning tree using Adjacency List

  Language:C30

• abhichand26/activity-selection

  Implementation of Activity Selection

  Language:C2200

• abhichand26/bellman-ford-algorithm

  Implementation of Bellman-Ford Algorithm to find single source shortest path while handling negative cycles

  Language:C2201

• abhichand26/breadth-first-search

  Implementation of breadth first search

  Language:C2

• abhichand26/fibonacci-term

  A program to calculate n'th term of Fibonacci series using dynamic programming

  Language:C2

• abhichand26/longest-common-subword

  Program to find longest common sub-words using Dynamic Programming

  Language:C220

• abhichand26/longest-increasing-sequence

  Program to find longest increasing sequence using Dynamic Programming

  Language:C2

• abhichand26/optimal-binary-search-tree

  Program to implement Optimal Binary Search Tree using Dynamic Programming

  Language:C2

• abhichand26/priority-queue

  Implementation of Priority Queue data structure

  Language:C2

• abhichand26/searching-algorithms

  Implementation of Linear & Binary Search

  Language:C21

• abhish-one/Resume-Tagging

  Language:Jupyter Notebook2100

• abhichand26/decision-tree

  Implementation of decision tree

  Language:Jupyter Notebook1

• abhichand26/k-means

  Implementation of k-means algorithm for clustering

  Language:Jupyter Notebook1

• AMVijay/hadoop-learning

  This repository comprises Hadoop Learning Code and Notes.

  Language:Python120

• nileshs31/DataMining

  Data mining code in Python3 notebook.

  Language:Jupyter Notebook10

• niteshsukhwani/SVM-V-s-FNN

  Language:Jupyter Notebook1