shivamsingh96-zz
Freelance Programming Consultant | Content Creator in the field of Artificial Intelligence| ML Researcher
ExpertzHut SolutionVaranasi, India
Pinned Repositories
Customer-Segmentation
The Aim of the this repository is to build the predictive model with which we can identify or analyze the customer behavior and can also segment the customers in different categories with the technique called "RFM Analysis".
FIFA-2018-Data-Analysis-
In this project, we will be looking at the player data provided by FIFA which contains information such as personal details, wages, physical attributes, technical skills, potential and their positional strengths. This is primarily data of FIFA 2018.Through this project, you will get a glimpse of insights behind the beautiful game and the kind of information and decisions a football manager goes through.
Healthcare-Analytics-II---AV-Hackathon
The Competition is conducted by Analytics Vidhya named Janatahack - Healthcare Analytics II. The task is to accurately predict the Length of Stay for each patient on case by case basis so that the Hospitals can use this information for optimal resource allocation and better functioning. The length of stay is divided into 11 different classes ranging from 0-10 days to more than 100 days. I tried almost all classifier algorithms for this Multioutput problem to get better accuracy. I achieved accuracy of around 42.867% using LightGBM which is very powerful ensemble technique.
Linear-Regression-From-Scratch
Complete Mathematics
ML-Project
Big Mart Sales Analysis
Naive-Bayes-Classifier
Naive Bayes Classifier From Scratch in Python in which we have to classify whether the Tumor is Benign or Malignant in the given Data set
Natural_Language_Processing
Working with text is generally more challenging than working with numerical data. Hence, any kind of technique that helps in generating an intuition of the existing dataset is welcome. One of the simplest approach to understand any text document or to compare multiple documents can be to compute a frequency table of individual words present in the document/documents and use it to conduct further experiements like: finding top words per document, finding top common words among documents etc. In our case, we have taken the challenge of Analyzing Sentiments from Twitter data, so we will focus on how to generate word frequencies and use it to create Word Clouds in Python that will help us get a better overall understanding of the dataset.
Neural-Network-From-Scratch
Price-Prediction---Advanced-Regression-Technique
The data set was taken from kaggle competition based on House Price Prediction , there was a lot Feature Engineering in this data set after that I used Randomized Search Cv to tune my hyperparameters and used XGBoost regressor for prediction and with the help of these techniques my RME score on the public leaderboard will be 0.1398 and my rank was 2500 and now I use to apply ANN(Artificial Neural Network) to improve my score.
Skin-Cancer-Detection-using-ResNet-50-deployed-on-Streamlit
Classify Skin cancer from the skin cancer pictures using ResNet 50. The dataset for the project is obtained from the Kaggle ISIC-Archive.
shivamsingh96-zz's Repositories
shivamsingh96-zz/Natural_Language_Processing
Working with text is generally more challenging than working with numerical data. Hence, any kind of technique that helps in generating an intuition of the existing dataset is welcome. One of the simplest approach to understand any text document or to compare multiple documents can be to compute a frequency table of individual words present in the document/documents and use it to conduct further experiements like: finding top words per document, finding top common words among documents etc. In our case, we have taken the challenge of Analyzing Sentiments from Twitter data, so we will focus on how to generate word frequencies and use it to create Word Clouds in Python that will help us get a better overall understanding of the dataset.
shivamsingh96-zz/Pandas
Complete Pandas basic to advance
shivamsingh96-zz/OCR
shivamsingh96-zz/Price-Prediction---Advanced-Regression-Technique
The data set was taken from kaggle competition based on House Price Prediction , there was a lot Feature Engineering in this data set after that I used Randomized Search Cv to tune my hyperparameters and used XGBoost regressor for prediction and with the help of these techniques my RME score on the public leaderboard will be 0.1398 and my rank was 2500 and now I use to apply ANN(Artificial Neural Network) to improve my score.
shivamsingh96-zz/Titanic-Disaster-
This is my first Kaggle competition, and i just use Random Forest and XGBoost classifier to implement this along with lot of Data Preprocessing steps and and Feature Engneering.
shivamsingh96-zz/Text-Classification
Imported the dataset of 20 new_groups , apply Naive-Bayes on it for Classification and obtain the result.
shivamsingh96-zz/Intearcative-Dictionary
Build an Interactive Dictionary using Python
shivamsingh96-zz/Neural-Network-From-Scratch
shivamsingh96-zz/Logistic-Regression-From-Scratch
Complete Mathematics Of Logistic Regression
shivamsingh96-zz/Linear-Regression-From-Scratch
Complete Mathematics
shivamsingh96-zz/Naive-Bayes-Classifier
Naive Bayes Classifier From Scratch in Python in which we have to classify whether the Tumor is Benign or Malignant in the given Data set
shivamsingh96-zz/AI-class-assignments
Inverse Transform Sampling
shivamsingh96-zz/Central-Limit-Theorem
Suppose, you have a population that is binomially distributed with p=0.7. Check for the principle of CLT for sample size = 30. What will happen when sample size = 8. Compare your results when the population is poison distributed with mean = 5 with repeated sampling with sample size = 30 , what will happen when sample size = 8. What conclusion you can draw and you and you have to do repeated sampling for 1000 times.
shivamsingh96-zz/Box-Prezzy
An e-commerce website
shivamsingh96-zz/ML-Project
Big Mart Sales Analysis
shivamsingh96-zz/Assignment1
shivamsingh96-zz/https-github.com-shivamsingh96-assignment_5.ipynb.git-
shivamsingh96-zz/ml-Assingment
shivamsingh96-zz/Restaurant
This is the website where you can find your favourite restaurants
shivamsingh96-zz/EatHealthy
An angular app for foodie's. The user of the app can use it to find restaurants. The user can also provide pictures of food items to analyze for ingredients and determine if it has protiens, carbs or fats.
shivamsingh96-zz/MusicApp
Make a music app that can play audio and visualizations.
shivamsingh96-zz/facebook-page
creaed a website like facebook
shivamsingh96-zz/p2
shivamsingh96-zz/Shivam-
shivamsingh96-zz/Shivam-Singh