BCE v0.4 - Practical implementation of Compression via Substring Enumeration
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Updated
Jul 4, 2017 - C++
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stationary-data
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Developed predictive models like ARIMA and logistic regression to analyze market trends and forecast movements. Employed statistical techniques like moving averages for trend insights and binary outcome predictions in financial analysis.
fintech
logistic-regression
stationary-data
analysis-algorithms
arima-forecasting
autoregression
movingaverage
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Updated
Nov 13, 2023 - Python
rainfall-prediction-and-forecasting
machine-learning
deep-learning
data-visualization
xgboost
data-analysis
stationary-data
time-series-analysis
statistical-modeling
lstm-neural-network
time-series-forecasting
arima-forecasting
fb-prophet
rainfall-prediction
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Updated
Aug 16, 2024 - Jupyter Notebook
time
timeseries
arima
statsmodels
stationary-data
forecasting-models
time-series-analysis
fbprophet
sarimax
arima-model
facebook-prophet-forecasting
time-series-forecasting
arima-forecasting
facebook-prophet
timeseries-forecasting
sarima
arima-models
sarima-model
autoregressive-models
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Updated
Sep 23, 2023 - Jupyter Notebook
My bachelor's and master's theses
stationary-data
self-supervised-learning
van-emde-boas-tree
retrieval-augmented
neurohashing
neurocoding
assotiative-memory
metamemory
o1-knn
source-knowledge
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Updated
Aug 10, 2023 - TeX
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