bindhu520 Goto Github PK

analysis-of-women-safety-in-indian-cities-using-twitter-data

Analysis of Women Safety in Indian Cities Using Twitter data is to analyze women safety using social networking messages and by applying machine learning algorithms on it. Now-a-days almost all peoples are using social networking sites to express their feelings and if any women feel unsafe in any area then she will express negative words in her post/tweets/messages and by analyzing those messages we can detect which area is more unsafe for women’s.

bindhu520

Config files for my GitHub profile.

boost-model-accuracy-of-imbalanced-covid-19-mortality-prediction-using-gan-based-oversampling-techni

coding-games

coursera-algorithms-part-ii

Algorithms Part II which is taught by Professor Robert Sedgewick on Coursera

coursera-algorithms-part1

📖Coursera Princeton Algorithms Part 1

crime-prediction-analysis

The capability to predict any crime on the basis of time, location and so on can help in providing useful information to law enforcement from strategical perspective.

ford-challenge

Kaggle Competition Ford Alert Solution

implementation-and-comparison-of-recommender-systems-using-various-models

learning

movie-recommendation-system-using-gnn

pythonlabprograms

safe-driving-challenge-ml-proect-

Safe driving is one important factor for safe living. The objective of this challenge is to design a model that will detect driver’s attentiveness from the information acquired while driving.

sdc

Predicting whether a driver will be awake or not using various ML algorithms

solution-starter-kit-communication-2020

Materials for the Call for Code 2020 solution starter kit for crisis communication in the context of COVID-19.

stock-market-price-prediction

Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest Neighbor, Support Vector Machine, Decision Tree, and Random Forest to identify which algorithm gives better results. Used Neural Networks such as Auto ARIMA, Prophet(Time-Series), and LSTM(Long Term-Short Memory) t