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Stars72
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Global Rank 262,791 (Top 10 %)
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Followers 17
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Following 2
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Registered over 9 years ago
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Most used languagesJupyter Notebook95.8 %Python4.2 %
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Location 🇮🇳 India
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Country Total Rank 8,214
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Country RankingJupyter Notebook750
Top repositories
Sentiment-Depression--Analysis-Using-Machine-Learning-Decision-Tree-Naive-Bayes-RF-for-Tweets
Depression Analysis using tweets. Contains implementation notebook, with detailed analysis for depression prediction.Python_End_to_End_in_detail
It contains python programming start to end required for Machine learningThyroid-Disease-Detection-using-Machine-Learning-Algorithms
To implement the classical machine learning algorithmic tasks like Data Exploration, Data Cleaning, Feature Engineering, Model Building and Testing a Model.Numpy-End-to-End-in-detail
Repository contains the detailed implementation of numpy with each and every required functions. A beginer data scientist can start learning numpy using this notebook.Pandas-End-to-End-Tuts
Pandas in deatils tutorials notebook for understanding insights of library and various operations.Machine-Learning-using-LogisticRegression-on-IRIS-dataset-
This repository contains implementation of LogisticRegression on IRIS dataset.Machine-Learning-Decision-tree-implementation-for-House-Price-Prediction
Machine Learning- Decision tree implementation for House Price Prediction using Melbourne House Price Prediction dataset.SVN-Hotel
python-using-pycharm-basic
This repository will contain basic python programs on python using pycharm IDEAnlysis-of-World-Happiness-Report-using-Machine-Learning
Anlysis of World Happiness Report using Machine Learning ApprochMachine-Learning-Linear-Regression-on-Boston-Dataset
I have implemented Linear regression on boston dataset to predict the house prices.Spam_Email_Detection_Using_Deep_Learning
This repository contains the implementation of spam email detection using Dataset.csv, Dataset has spam and ham labels and associated text. I am using Deep Learning to detect Spam /Ham emails.Tensorflow-Basics
Tensorflow Basics are explained here using handwritten digit recognition on mnist dataset. A beginner data scientist can start learning deep learning using TensorFlow.Machine-Learning-Thyroid-Detection-Using-Decision-Tree-Algorithm
Implementation of decision tree for thyroid detection, Repository includes dataset, implementation notebookSagarlatake
Config files for my GitHub profile.Machine-Learning
Machine learning Insights: This repository contains the details of Linear Regressiona and Logistic RegressionA-Machine-Leaarning-Approch-SVM-implementation-on-IRIS-dataset-with-Scatter-Plot
A Machine Leaarning Approch-SVM implementation on IRIS dataset,TimeSeries_Sales_Price_Forecasting_Multivariate
This repository contains the implementation of machine learning algorithm for forcasting the sales price. It also includes required dataset.Hotel_final
Final Hotel RepositoryStock-Price-Prediction-using-Deep-Learning-LSTM
This repository contains the implementation of stock price prediction and forecasting for infosys stock prices.Matplotlib-Overview
This repository contains the matplotlib codes. It has simple assignments for plotting data using matplotlib.Machine_Learning_Decision_Tree_For_Diabetes_Detection
Implementation of Machine Learning Algorithm Decision Tree for prediction of Diabetes Detection. Implementation includes the use of preprocessing techniques, LabelEncoding, feature scaling and then Built a model using Decision Tree for Prediction. Lastly a detailed clasification report is obtained on test dataHotel_new
Hotel RepositoryHotel
DDoS-Attack-Detection-Using-Machine-Learning
Study and Develop Machine learning approch to detect Deniel of Service AttackDeep-Learning-mnist-dataset
Implemented a deep learning model on mnist dataset. Notebook contains implementation of deep learning algorithm on mnist-dataset, Classification report is generated for understanding the performance of the algorithm.Crude_Oil_Price_Forecasting
Repository contains the implementation of crude oil price forecasting. It uses a datset of last 7 yeras for forecasting oil prices in december and january month.Deep-Learning-on-Insurance-Dataset
I have implemented deep learning approach on sample insurance dataset. Which will help us to understand the insights of deep learningPrediction_of_income_Uisng-ML-Techniques_NB_SVM_DT_RF
Repository contains the implementation of Naive baye's , Support Vector Machine, Decision Tree, Random Forest. We have used Label encoding and data scalling techniques to preprocess data.TimeSeries_Analysis_AirPassanger_data
Repository contains the detailed implementation of forecasting air passenger data. It includes the all details of working with time series with one variable forecasting(Univariate).