vishwasourab Goto Github PK

customer_segmentation

In this project, I will analyze a dataset containing data on various customers' annual spending amounts (reported in monetary units) of diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.

dog_breed_classification

In this project, my code will accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.

nd00333_azmlnd_optimizing_a_pipeline_in_azure-starter_files

nyc_311_data_analysis

This Project is analysing NYC 311 calls dataset from the year 2009.

openai_taxi_v2

There are four designated locations in the grid world indicated by R(ed), B(lue), G(reen), and Y(ellow). When the episode starts, the taxi starts off at a random square and the passenger is at a random location. The taxi drive to the passenger's location, pick up the passenger, drive to the passenger's destination (another one of the four specified locations), and then drop off the passenger. Once the passenger is dropped off, the episode ends.

plant_seedlings_classification

Helped farmers in increasing productivity of crop and assisted in identifying the weed plants in initial stages by designing an intelligent model. Achieved 94% accuracy by effectively using deep learning techniques.

predict_damage_to_a_building_ml_challenge

Determining the degree of damage that is done to buildings post an earthquake can help identify safe and unsafe buildings, thus avoiding death and injuries resulting from aftershocks.We Leverage the power of machine learning to predict the damage grade of building and thus potentially preventing massive loss of lives while simultaneously making rescue efforts easy and efficient.

predicting_donors_for_charityml

CharityML is a fictitious charity organization located in the heart of Silicon Valley that was established to provide financial support for people eager to learn machine learning. After nearly 32,000 letters were sent to people in the community, CharityML determined that every donation they received came from someone that was making more than $50,000 annually. To expand their potential donor base, CharityML has decided to send letters to residents of California, but to only those most likely to donate to the charity. With nearly 15 million working Californians, CharityML has brought you on board to help build an algorithm to best identify potential donors and reduce overhead cost of sending mail. My goal was to evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.

quadcopter_project

In this project, I will train a quadcopter to perform certain tasks using Reinforcement Learning.

the-bookstore

Bookstore is a simple python desktop application made with help of tkinter. Bookstore provides its users to store, search,update and delete book's information

webcam-motion-detector

This Python Code detects the motion of Objects in webcam and records start and end time of that objects and stores in a .csv file

website_blocker

This is a simple python script that blocks websites on our desired time. This simple script improves our work productivity and it does'nt take much space or does not slow down your system.