Pinned Repositories
AlgorithmVisualizer
Algorithm Visualizer
cheat_sheets
A collection of handy cheat sheets for programming, data science, version control, statistics, and probability.
davinci-kit-for-raspberry-pi
This repository is for SunFounder Da Vinci Kit for Raspberry Pi.
Deep-Learning-Projects
DL Projects (End to End)
Jarvis
As the name suggests
Mac-CLI
OS X command line tools for developers – The ultimate tool to manage your Mac. It provides a huge set of command line commands that automatize the usage of your OS X system.
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
Resume
sketch-foundation-kit
:gem: The Foundation for Sites template for Sketch 3.
Swift-CheatSheet
A quick reference cheat sheet for common, high level topics in Swift.
siddharth1701's Repositories
siddharth1701/davinci-kit-for-raspberry-pi
This repository is for SunFounder Da Vinci Kit for Raspberry Pi.
siddharth1701/7-methods-to-perform-Time-Series-forecasting-with-Python-codes-
siddharth1701/Amazon-Tracker
This app lets you get a notification to your Gmail if your desired products get discount and gets into your budget.
siddharth1701/Artificial-Intelligence-Reference
siddharth1701/Attendace_management_system
In this system we can fill attendance by face recognition
siddharth1701/Automated-Job-Resume-Matching-Solution
According to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.
siddharth1701/competitions
Notebooks of different competitions
siddharth1701/Cracking_The_Machine_Learning_Interview
(Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of.
siddharth1701/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
siddharth1701/Data-Cleaning-Practical-Examples
Data Cleaning In Python and Julia with Practical Examples
siddharth1701/Data-Science--Cheat-Sheet
Cheat Sheets
siddharth1701/Data-science-fundamentals-Dataquest
This repository consists of various exploratory and analysis techniques that I learnt and applied on different datasets through Dataquest. The files contain the code for the mechanics of some ML algorithms, NLP fundamentals, EDA principles, linear algebra for data science, analytics packages likes Pandas, Numpy, Matplotlib etc.
siddharth1701/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
siddharth1701/Essentials-of-Deep-Learning-Visualizing-Convolutional-Neural-Networks-in-Python
siddharth1701/IEEE-CIS-Fraud-Detection
siddharth1701/Improve-Your-Model-Performance-using-Cross-Validation-in-Python-and-R-
siddharth1701/keras-flask-deploy-webapp
:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
siddharth1701/Machine-Learning-Books-With-Python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
siddharth1701/ML-web-app
Train and Deploy Simple Machine Learning Model With Web Interface - Docker, PyTorch & Flask
siddharth1701/numpy-ml
Machine learning, in numpy
siddharth1701/pdfs
Learning materials
siddharth1701/PriceTracker
A basic price tracker for Amazon using web scraping.
siddharth1701/productionize-machine-learning-model
Deploy machine learning model as a service in AWS with Flask
siddharth1701/Python_Tutorial
siddharth1701/resume-parser
A simple resume parser used for extracting information from resumes using NLP
siddharth1701/Resume-phrase-Matcher
Resume Analyser using NLP and Python
siddharth1701/Resume_Filtering
A resume filtering based on natural language processing
siddharth1701/ResumeClassifier
siddharth1701/Technical-Books-Collection
This is my tech book Club,here i have collected some of my favorite books on programming and technology.
siddharth1701/Tic_Tak_Toe-game
A simple game in which i can bet all my money that you can't beat this Computers Algorithm