sunilpankaj/Twitter-US-Airline-Sentiment

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sunilpankaj/Twitter-US-Airline-Sentiment

sunilpankaj

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Analyze how travelers in February 2015 expressed their feelings on Twitter

Human-Resources-Analytics-project-using-python-

Predict why are our best and most experienced employees leaving prematurely? using machine learning.

Jupyter Notebook

Emotion-Analysis-from-Video

Face Detection, Emotion analysis in video using SVM and CNN

Hashtag-Recommendation-for-Hyperlinked-Documents

Hashtag Recommendation for news blogs. Data scraping, Pair wise learning to rank, ranksvm.

Highway-Traffic-Video-Analysis

Traffic analysis using SIFT + Codebook (K-Mean, GMM) features.

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GenerativeAdversarialNetworks

generative adversarial networks

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IMDB-5000-Movie-Dataset-Analysis

Analyse all important features of datasets

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Predict-Sales-for-Shops-and-Item-using-Deep-Learning

forecast the total amount of products sold in every shop, time series forecasting using deep learning in tensorflow2.

Jupyter Notebook

Anomaly-Detection-using-LSTM-Based-AutoEncoder

Detect anomaly in time series data using LSTM auto encoder in Tensorflow2

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Gender-Recognition-by-Voice-using-python

Recognize gender by acoustic properties of voice.

Jupyter Notebook

Text-analysis-and-classification-using-deep-learning

Text analysis, word embeddings, SVD visualization, classical machine learning and deep learning for text classification.

Jupyter Notebook