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Took 2 years to create product and ready to launch

After working hard on the product since Jan 2020, the UnifyML.com product is finally ready for launch. I'm convinced that UnifyML SQL can be easily understood and used to run most popular data science algorithms for business without compromising performance.

It reduces costs drastically In operationalising data science for your business. It's easy and is designed and developed using modern and micro service architecture so that scales and saves cost when deployed in Cloud.

It has got most of the below algorithms that can be called using SQL on the data (CSVs for any Databases) directly,

Statistical:
Correlation, Hypothesis, Summarize, ShowOutliers

Predictive:
AutoRegression, DecisionTree, GeneralizedLinearRegression,
GradientBoostTree, Linear Regression, RandomForest,
AdaBoost, BayesianRidge, LassoLars, Ridge, Sgd, Logistic,
Poisson, Xgb, PCA

Clustering:
BisectingKmeans, GMM, K-means

Classification:
DecisionTreeClassifier, GradientBoostTreeClassifier,NaiveBayes
Classifier, RandomForest Classifier, AdaBoost Classifier,
KnnClassifier, RandomForest Classifier, Sgd Classifier,
Naivebayes Classifier, Xgb Classifier

Time Series:
ArimaTimeSeries

Text
Tokenizer, SentimentAnalysis, ImageToText

Data Preprocesssing

, Founder of Icon for UnifyML
UnifyML
on April 22, 2022