brianmoringa Goto Github PK

arima-and-seasonal-arima

core-week-4-ip

core-week-8-ip-submission

core-week-8.r

core-week-9-ip-submission

dsft14_grp2_wk5

A project as per the fulfilment of the requirements for Data Science Prep at Moringa School.

fable-time-series-forecasting

Slides and resources for the fable talk at TFEAM

holt-winter

holt-winters-vs-sarima-forecasting

Holt Winters vs SARIMA Forecasting

independent-project-core-week-2

mlcourse.ai

Open Machine Learning Course

my-fisrst-git-hub-repository

new-york-stock-exchange-predictions-rnn-lstm

BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture, learning rate and batch size for best model performance. The graphs are self explanatory once you click and go inside !!!

price-forecaster

Forecasting the future prices of BTC and More using Machine and Deep Learning Models

run-through-of-holt-winters-sarima-and-fbprophet

This is a simple notebook comparing the output of Holt-Winters, SARIMA and FBProphet. Information about parameter tuning has not been included.

sarimax-model

Seasonal AutoRegressive Integrated Moving Averages with eXogenous regressors model

seanabu.github.io

personal blog

time-series-arima-xgboost-rnn

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

time-series-forecasting

Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet

time-series-forecasting-apple-stock-price-using-sarima-prophet

Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots to identify Moving average and Auto-regressive order of series. Transformed series to make it stationary.

time-series-forecasting-using-lstm-in-r

time-series-forecasting-with-arima-sarima

Time series analysis clearly is a great part in ML world, for this reason I realize this article for two main purposes. Firstly, I want to share the knowledge I had gather throughout my career, since I know it’s hard work to find, understand and put in practice all of this. Secondly, I want to know different opinions about my work.

timeseries

Time Series

watson-stock-market-predictor

A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.

week-3-ip-submission-brian-onchweri-

week-4ip-submission

week7.core.module-ii.ip