akshay-savanth Goto Github PK

artificial-neural-networks

association-rules

bank-loan-approval-prediction

Business Objective: To predict the impact of the incident raised by the customer

covid_vaccines_clustering

Covid-19 vaccines developed by various countries are now available for public use each country is different vaccines and some countries using only one vaacine. this repo consists of vaccines clustering or grouping using kmeans and dbscan algorithm

decision-tree

demo-git

financial-news-sentiment-analysis

Financial news data can be helpful in numerous ways. It can be used in NLP projects to understand the overall scenario of the current market, analyse historical data and find cyclic trends, etc. With regard to Indian markets in particular, it faces a lot of highs and lows on a recurring basis. While numbers help in various statistical interpretations and are also readily available, they do not reveal the complete story. It is also important to analyse the trends through news sources and predict the overall sentiment of the market.

hypothesis-testing

k-means-clustering

k-nearest-neighbour

logistic-regression

multiple-linear-regression

naive-bayes-classifier

natural-language-processing

network-analysis

powerplant_energy_output

Data Set Information: The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full load. Features consist of hourly average ambient variables Temperature (T), Ambient Pressure (AP), Relative Humidity (RH) and Exhaust Vacuum (V) to predict the net hourly electrical energy output (EP) of the plant. A combined cycle power plant (CCPP) is composed of gas turbines (GT), steam turbines (ST) and heat recovery steam generators. In a CCPP, the electricity is generated by gas and steam turbines, which are combined in one cycle, and is transferred from one turbine to another. While the Vacuum is colected from and has effect on the Steam Turbine, he other three of the ambient variables effect the GT performance. Attribute Information: Features consist of hourly average ambient variables Temperature (T) in the range 1.81°C and 37.11°C, Ambient Pressure (AP) in the range 992.89-1033.30 milibar, Relative Humidity (RH) in the range 25.56% to 100.16% Exhaust Vacuum (V) in teh range 25.36-81.56 cm Hg Net hourly electrical energy output (EP) 420.26-495.76 MW The averages are taken from various sensors located around the plant that record the ambient variables every second. The variables are given without normalization.

prinicipal-component-analysis

pyspark-with-python

random-forest

recommendation-engine

simple-linear-regression

support-vector-machines

time-series-forecasting