Pinned Repositories
Applied-Plotting-Charting-and-Data-Representation-in-Python
Coursera
BE
codes and practical documents of all the subject and projects.
datasciencecoursera
datasharing
The Leek group guide to data sharing
Deep-Learning-specialisation-Coursera
Deep-Learning-Specialization-Coursera
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
Eyes-and-Lips-Segmentation
Face-detection
Simple project to detect face with and without names. To detect faces with names open face_detection_with_names folder. To detect wether it is a face or not open face_detection folder.
Getting-and-Cleaning-Data-Course-Project
priyaaa705's Repositories
priyaaa705/Applied-Plotting-Charting-and-Data-Representation-in-Python
Coursera
priyaaa705/BE
codes and practical documents of all the subject and projects.
priyaaa705/datasciencecoursera
priyaaa705/datasharing
The Leek group guide to data sharing
priyaaa705/Deep-Learning-specialisation-Coursera
priyaaa705/Deep-Learning-Specialization-Coursera
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
priyaaa705/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
priyaaa705/Eyes-and-Lips-Segmentation
priyaaa705/Face-detection
Simple project to detect face with and without names. To detect faces with names open face_detection_with_names folder. To detect wether it is a face or not open face_detection folder.
priyaaa705/Getting-and-Cleaning-Data-Course-Project
priyaaa705/kellwyn.github.io
Applied Data Science with Python - Coursera Specialization from University of Michigan
priyaaa705/Maze-Generation
Artificial Intelligence Assignment 1 - TCD
priyaaa705/PolitiClear
PolitiClear offers a concise guide to Ireland's political landscape, featuring details on constituencies, leaders, and their histories across parties. Aimed at fostering informed decisions, this app connects users with valuable insights into their representatives' backgrounds and achievements.
priyaaa705/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
priyaaa705/pyresparser
A simple resume parser used for extracting information from resumes
priyaaa705/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
priyaaa705/Reproducible-research-week-2-Project
Reproducible research week 2 assignment
priyaaa705/Reproducible_Research_Week_4
Reproducible Research Course - Week 4 Assignment
priyaaa705/Resume-Parser
A resume parser is a compiler or interpreter that converts the unstructured form of data into a structured form. It is a component that automatically segregates the information into various fields and parameters like personal information, educational qualification, work experience, skills, achievements, projects, certifications to quickly help you identify the most relevant resumes based on your criteria. A parser takes input in the form of a sequence of program instructions and tends to build a data structure; a "parse tree," or an abstract syntax tree.
priyaaa705/Tic-Tac-Toe-Connect-4-using-Minimax-and-Reinforcement-Learning
Artificial Intelligence Assignment 3 - TCD