Sales-PredictionIn depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
Stars: ✭ 56 (+115.38%)
Mutual labels: machine-learning-algorithms, prediction, prediction-algorithm, prediction-model
Machine-learningThis repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
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Mutual labels: datascience, nlp-machine-learning, prediction-model
BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
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Mutual labels: machine-learning-algorithms, prediction
Machine learning a ZLearning to create Machine Learning Algorithms
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Mutual labels: machine-learning-algorithms, datascience
Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
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Mutual labels: prediction, datascience
FbpFBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果（包含胜和不胜）。机器学习用的是自己建立的“三木板模型”算法，已在国家期刊发表论文并被万方数据库收录，详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人，附件为群讨论截图，并且每天均有部分人根据预测结果参考投注竞彩，参考的人都获得了相应的收益。 现在想通过认识更多的有识之士，一起探索如何将项目做大做强，找到合伙人，实现共赢。希望感兴趣的同仁联系本人，微信号acredjb。公众号AI金胆（或AI-FBP），每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本：（第三轮目前13中12） 8月10日：13让负（正确） 8月11日：27让负（正确） 8月12日：11让负（正确） 8月13日：6胜（不正确） 8月14日：25让负（正确） 8月15日：无预测 8月16日：1胜（正确） 8月17日：6让负（正确） 8月18日：16胜（正确） 8月19日：34让负（正确） ... 1.0版本（第一轮为11中9） 2.0版本（第二轮13中11）.
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Mutual labels: machine-learning-algorithms, prediction
Letslearnai.github.ioLets Learn AI
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Mutual labels: machine-learning-algorithms, nlp-machine-learning
100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
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Mutual labels: machine-learning-algorithms, datascience
COVID19Using Kalman Filter to Predict Corona Virus Spread
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Mutual labels: machine-learning-algorithms, prediction
timemachinesPredict time-series with one line of code.
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Mutual labels: prediction, prediction-algorithm
Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Stars: ✭ 27 (+3.85%)
Mutual labels: machine-learning-algorithms, datascience
xgboost-smote-detect-fraudCan we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
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Mutual labels: machine-learning-algorithms, datascience
MathematicaforpredictionMathematica implementations of machine learning algorithms used for prediction and personalization.
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Mutual labels: machine-learning-algorithms, prediction
Notebooks Statistics And MachinelearningJupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
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Mutual labels: machine-learning-algorithms, datascience
Lda Topic ModelingA PureScript, browser-based implementation of LDA topic modeling.
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Mutual labels: machine-learning-algorithms, nlp-machine-learning
Machine Learning And Ai In TradingApplying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
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Mutual labels: machine-learning-algorithms, prediction
BoostarootaA fast xgboost feature selection algorithm
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Mutual labels: machine-learning-algorithms, datascience
genieGenie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
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Mutual labels: machine-learning-algorithms, datascience
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Mutual labels: machine-learning-algorithms, datascience
schrutepyThe Entire Transcript from the Office in Tidy Format
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Mutual labels: datascience, nlp-machine-learning
