UnifyML

Unifyml.com website is ready. The product can be downloaded and can run on any Desktops, Laptops, Cloud VM's, Linux servers where ever docker can install. Licensing part is also done and integrated.

Now, registered at product hunt and waiting for approval. It looks like after registration they take at least take 1 week to enable account.
Also found this site very useful on how to go ahead with marketing and sales. Reading all the articles on how to get traffic and get first customers.

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