Chinmayrane16 / Diamonds-In-Depth-AnalysisLinks
Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.
☆18Updated 6 years ago
Alternatives and similar repositories for Diamonds-In-Depth-Analysis
Users that are interested in Diamonds-In-Depth-Analysis are comparing it to the libraries listed below
Sorting:
- Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels …☆15Updated 6 years ago
- Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit…☆13Updated 5 years ago
- Used Seaborn , Matplotlib ,Numpy , Pandas to Analyze and Visualize Different Types of Pokemons and their Relations with various Attribute…☆9Updated 7 years ago
- A Simple Calculator with basic Arithmatic operations and other utilities☆10Updated 4 years ago
- Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples.…☆12Updated 6 years ago
- This Repository provides resources for the 100 Days of ML initiative.☆42Updated 4 years ago
- A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.☆148Updated 2 years ago
- Deep learning paper notes☆47Updated 3 years ago
- Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consist…☆28Updated 6 years ago
- The Movie Reviews dataset. The dataset is imported from the NLTK libray. It has 1000 positive and 1000 negative reviews. I have first im…☆8Updated 6 years ago
- Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.☆249Updated last year
- CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering☆126Updated 4 years ago
- These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippe…☆284Updated last month
- Lectures and notes for a summer course on DS, ML, and AI☆104Updated 5 years ago
- Speaker Content from the events conducted by Kaggle Days Meetup Delhi NCR☆70Updated 2 months ago
- ☆30Updated 5 years ago
- Learn to build a Deep Neural Network from scratch!☆32Updated 6 years ago
- Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.☆16Updated 7 years ago
- Machine Learning Batch-I Pitampura | 7th June 2019☆12Updated 5 years ago
- This is a course provided by Coursera☆9Updated 6 years ago
- A QuestionBank of data science interview Questions☆74Updated 5 years ago
- Scripts and Approach for Amazon ML Challenge☆89Updated 3 years ago
- This repo aims to contain different machine learning use cases along with the descriptions to the model architectures☆69Updated 2 years ago
- ☆60Updated 5 years ago
- ☆17Updated 2 years ago
- Driver safety and security☆10Updated 4 years ago
- A react app inspired by the idea of KickStarter and tries to solve trust related issues by using ethereum platform.☆36Updated 2 years ago
- Unified/Standardized pytorch tutorials☆27Updated 2 years ago
- Data Science Online Course by Coding Blocks☆10Updated 6 years ago
- A trial project to understand ops around a Machine Learning project☆72Updated 4 years ago