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111 search results found
Time Series Forecasting
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13
Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
Tablecloth.time
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12
Tools for the processing and manipulation of time-series data in Clojure.
Time Series Analysis Prophet Youtube
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11
Time Series Analysis project with Prophet.
Timediffusion
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10
Unified Framework for Multiple Time Series Tasks
Predicting The Closing Stock Price Of Apple Using Lstm
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10
In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.
Prophetly Client
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10
Prophetly Frontend powered by React and Plotly
Mdeeplearn
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10
📚 🍑 Machine Learning and Deep Learning with examples.
Kydlib
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10
Routines for exploratory data analysis.
Quantified Sleep
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9
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
Mars_express__esn
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9
Tackling ESA's Mars Express Power Challenge with Echo State Networks
Tsmom
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9
Time-Series Momentum Strategies
Hdf5serie
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9
A HDF5 Wrapper for Time Series
Talks Keynotes Slides
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9
My invited Keynote/Talk at Conferences, Universities, Companies, etc.
Columnar
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9
An idiomatic kotlin dataframe toolkit for data engineering tasks of any size dataset
Agatha
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8
Disentangling period signals from correlated noise in a periodogram framework
Window Size Selection
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8
This is the supporting website for the paper "Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark".
Ds 503
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7
Course Webpage for DS503 being taught at IIT Bhilai
Lstm Fcn
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7
LSTM-FCN applied on ECG dataset
Python Projects
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7
Portfolio in Python
Time Series Forecasting Using Machine Learning Algorithm
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7
Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.
Sparklyr.flint
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7
Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R
Pipelinets
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6
One-stop time series analysis tool, supporting time series data preprocessing, feature engineering, model training, model evaluation, model prediction, etc. Based on spinesTS and darts.
Time Series Pib
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6
Brazilian PIB (GDP) time series analysis.
Timebasedcv
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6
Time based splits for cross validation
Data Science Portfolio
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5
Portfolio of data science projects completed by me for self learning.Looking for job opportunity.
Forecasting_air_pollution
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5
Stacking a machine learning ensemble for multivariate time series forecasting, with the goal of predicting the one-period ahead PM 2.5 air pollution level, as published in Towards Data Science on Medium.com
Finq
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5
🔬 Quantitative analysis and management for financial applications.
Anomaly Detection
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5
Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection
Forecasting_future_sales
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5
Forecasting future sales of a product offers many advantages. Predicting future sales of a product helps a company manage the cost of manufacturing and marketing the product. In this notebook, I will try to you through the task of future sales prediction with machine learning using Python.
Pyemits
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5
Sugar candy for data scientist. Easy manipulation in time-series data analytics works.
Backpropagation Neural Network For Multivariate Time Series Forecasting
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5
Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)
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