naikshubham Goto Github PK
Name: Shubham S. Naik
Type: User
Bio: Artificial Intelligence
Location: Pune
Name: Shubham S. Naik
Type: User
Bio: Artificial Intelligence
Location: Pune
Objective is to create a ML model that will classify the Review as positive or negative using k-NN.
This script will automatically create the Incident Metrics and trigger automatic mail.
Used computer vision with OCR to extract feilds from bank cheques, thereby automating the process of cheque processing in Banks.
Fundamentals of image analysis using NumPy, SciPy, and Matplotlib. We'll navigate through a whole-body CT scan, segment a cardiac MRI time series, and determine whether Alzheimer’s disease changes brain structure.
Building interactive web applications with R shiny.
my old C codes... sandbox
Deal with Categorical data to solve data problems
Convolutional Neural Network Hyperparameter tuning using Hyperas and Hyperopt. The advantage of hyperas over sklearn GridSearchCV and RandomSearchCV is parallel execution using GPUs.
Objective is to find the top 10 similar transactions for any given transaction in the dataset using Linear Algebra.Calculate similarity(i,j) = cosine^-1(dot product (vi, vj) / (length(vi) * length(vj)) ) Find out top 10 transactions in the dataset which have the lowest similarity(i,j).
Prepare credit application data. After that, apply machine learning and business rules to reduce risk and ensure profitability.Ever applied for a credit card or loan, we know that financial firms process our information before making a decision. This is because giving us a loan can have a serious financial impact on their business. But how do they make a decision?
Customer Segmentation in Python
Data Engineering tasks
All necessary stuff to be a Data Scientist
Various data vizualizations
This repository contains keras/TensorFlow/Pytorch code for building Deep Learning models on datasets.
Deploying machine learning models in production seems easy with modern tools, but often ends in disappointment as the model performs worse in production than in development. How to exhaustively tune every aspect of our model in development; how to make the best possible use of available domain expertise; how to monitor our model in performance and deal with any performance deterioration; and finally how to deal with poorly or scarcely labelled data. Digging deep into the cutting edge of sklearn, and dealing with real-life datasets from hot areas like personalized healthcare and cybersecurity.
In this project I have created a distance calculator Webapp and hosted it on cloud using Python's Flask Framework. User needs to enter the source and destination the Python code will then call Google Maps API and display the distance and time to reach the destination from source. You can access the webapp using https://naikshubham.pythonanywhere.com
Detect face in a picture and recognize the identity of the face.
Feature Engineering techniques for ML
Used ARIMA class models to forecast the future.
This is a simple data analysis project using sci-kit learn. In this project we have taken a sample data of Male and Female containing height,weight and shoe size. Later using DecisionTree classifier we are predicting whether the given pair of height,weight and shoesize is of Male or Female.
Extend regression toolbox with the logistic and Poisson models, by learning how to fit, understand, assess model performance and finally use the model to make predictions on new data.
Gradient boosting is currently one of the most popular techniques for efficient modeling of tabular datasets of all sizes. XGboost is a very fast, scalable implementation of gradient boosting, with models using XGBoost regularly winning online data science competitions and being used at scale across different industries.
Travel booking Webapp using Flask and python.
Image Clustering using Convnets Transfer Learning and KMeans. Builds clusters of similar Images.
Data Science Skills for financial data
I have build a code which does the function of Dictionary, it will ask user to enter a word and show the meaning of that word. Apart from that ,additional features included are auto similar words recognition.
MongoDB is a tool to explore data structured as you see fit. As a NoSQL database, it doesn't follow the strict relational format imposed by SQL. By providing capabilities that typically require adding layers to SQL, it collapses complexity. With dynamic schema, you can handle vastly different data together and consolidate analytics. The flexibility of MongoDB empowers you to keep improving and fix issues as your requirements evolve.
Toy Dataset: Iris Dataset: [https://en.wikipedia.org/wiki/Iris_flower_data_set] A simple dataset to learn the basics. 3 flowers of Iris species. [see images on wikipedia link above] 1936 by Ronald Fisher. Petal and Sepal: http://terpconnect.umd.edu/~petersd/666/html/iris_with_labels.jpg Objective: Classify a new flower as belonging to one of the 3 classes given the 4 features. Importance of domain knowledge.
"Technology Gold mine" to collect and share materials/resources
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.