There are no reviews yet. Be the first to send feedback to the community and the maintainers!
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 IDEMachine-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).Love Open Source and this site? Check out how you can help us