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Papers tagged with "Series"
A STUDY ON IMPACT OF GOVERNMENT EXPENDITURE ON ECONOMIC GROWTH IN INDIA
This Study Investigates The Impact Of Government Expenditure On Economic Growth In India, Using Annual Data From1980 To 2022. The Study Employs The Autoregressive Distributed Lag (ARDL) Model To Examine The Long-run And Short-run Relationsh...
Retail Sales Trend Analyzer: A Streamlit-based Application For Trend Detection, Product Insights, And Forecasting
In The Competitive Retail Industry, Understanding Sales Patterns, Seasonality, And Demand Forecasting Is Crucial For Strategic Planning And Operational Efficiency. This Paper Presents An Interactive And Lightweight Web-based Application, Re...
Machine Learning Approach For Accurate Stock Predication Using LSTM
Stock Price Prediction Is A Critical Task For Investors, Traders, And Financial Analysts To Make Informed Decisions. Traditional Statistical Methods Often Struggle To Capture The Complex, Non-linear Patterns And Long-term Dependencies Inher...
A SURVEY AND INVESTIGATION OF DIFFERENT MACHINE LEARNING TECHNIQUES FOR FORECASTING STOCK TRENDS
The Stock Prices Depend Both On Time As Well As Associated Variables And Finding Patterns In Among The Variables Aid Forecasting Future Stock Prices Which Is Often Termed As Stock Market Forecasting. Stock Market Prediction Extremely Challe...
FORECASTING THE MOVEMENT OF STOCK TRENDS EMPLOYING DEEP NEURAL NETWORKS
Forecasting The Stock Market Is Difficult And Unpredictable. Numerous Factors, Such As Economic Statistics, Geopolitical Developments, Investor Mood, And Unforeseen Events Like Natural Catastrophes Or Health Crises, Can Have An Impact On Ma...
CLIMATE CHANGE PREDICTION USING TIME SERIES ANALYSIS
Predicting Climate Change Is A Crucial Task That Calls For Precise And Trustworthy Data Analysis Techniques. Time Series Analysis Is One Such Method That Can Be Used To Predict Future Climate Patterns By Examining Past Data. The Purpose Of...
RESEARCH ON CROP YIELD PREDICTION BASED ON INDIAN AGRICULTURE USING MACHINE LEARNING
This Paper Has Been Prepared As An Effort To Reassess The Research Studies On The Relevance Of Machine Learning Techniques In The Domain Of Agricultural Crop Production. This Method Is A New Approach For Production Of Agricultural Crop Mana...
HOLT-WINTER APPROACH TO FORECASTS AIR QUALITY INDEX OF INDUSTRIAL AREAS OF CHENNAI CITY IN INDIA
The Air Quality Index (AQI) Is A Prominent Technique For Raising Public Awareness And Involvement In Initiatives Aimed At Reducing And Managing Vehicular Traffic In Urban Areas. In This Regard, The Holt-winter Approach Is Employed For Forec...
BIG DATA FRAMEWORK FOR CLASSIFICATION OF AGRICULTURE LAND CATEGORY OF KANCHIPURAM DISTRICT TAMIL NADU
In This Project We Are Analyzing Agriculture Data By Using Hadoop Tool Along With Some Hadoop Ecosystems Like HDFS, MapReduce, Sqoop, Hive And Pig. By Using These Tools, We Can Process No Limitation Of Data, No Data Lost Problem, We Can Get...
ANALYSIS AND PREDICTION OF COVID-19 IN INDIA
The COVID-19 Is An Infection Of The Human Lungs With Illness, Cold, Pneumonia Being The Significant Clinical Symptoms. The Novel Coronavirus Was Discovered At Wuhan In China During December 2019. Around 4.27 Million People Across The 187 Co...
STOCK MARKET ANALYZER
In Stock Market Prediction, The Aim Is To Predict The Future Value Of The Financial Stocks Of A Company. The Recent Trend In Stock Market Prediction Technologies Is The Use Of Machine Learning Which Makes Predictions Based On The Values Of...
STOCK MARKET ANALYZER
In Stock Market Prediction, The Aim Is To Predict The Future Value Of The Financial Stocks Of A Company. The Recent Trend In Stock Market Prediction Technologies Is The Use Of Machine Learning Which Makes Predictions Based On The Values Of...
BIG DATA ANALYSIS AND MINING OF CRIME DATA USING LSTM
Big Data Analytics (BDA) May Be A Systematic Approach For Analysing As Well As Identifying Different Patterns, Relations, As Well As Trends Within A Large Volume Of Knowledge. During This Paper, We Apply BDA To Criminal Data Where Explorato...
BIG DATA ANALYSIS AND MINING OF CRIME DATA USING LSTM
Big Data Analytics (BDA) May Be A Systematic Approach For Analysing As Well As Identifying Different Patterns, Relations, As Well As Trends Within A Large Volume Of Knowledge. During This Paper, We Apply BDA To Criminal Data Where Explorato...
PREDICTING ELECTRICITY LOAD FOR LIGHT ENERGY CONSUMPTION IN A HOUSE USING MACHINE LEARNING ALGORITHM
Predicting Energy Consumption Is An Area Has Become An Important Field Of Research. The Purpose Of This Research Work Is To Find The Relation Between The Usage Of Light Energy Consumption With Outside Temperature And Humidity. In This Work,...