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Daksh BhatnagarHow Neural Networks Learn using Gradient DescentGradient descent is an optimization algorithm that is commonly used to train machine learning models and neural networks.Nov 5, 2022Nov 5, 2022
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InTDS ArchivebyBaijayanta RoyAll about Categorical Variable EncodingMost of the Machine learning algorithms can not handle categorical variables unless they are converted to numerical values and many…Jul 16, 201927Jul 16, 201927
InTDS ArchivebyElena SamuylovaMachine Learning in Production: Why You Should Care About Data and Concept DriftNo model lasts forever. Even if the data quality is fine, the model itself can start degrading. What does this mean in practice?Dec 7, 20209Dec 7, 20209
KDataIncCustomers Profiling Using K-Means ClusteringMarketing team has been trying Its best to know more of who their customers are. By understanding more of their users, the team will have a…Mar 8, 20221Mar 8, 20221
InPython in Plain EnglishbyHarsh MishraGlassdoor Data Science Jobs Data: End to End Data Science ProjectPerform Data Cleaning, Data Analysis, and Salary prediction for the data science job.Jan 20, 20221Jan 20, 20221
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InTDS ArchivebyTyler BlumeGradient Boosted ARIMA for Time Series ForecastingBoosting PmdArima’s Auto-Arima performanceJan 26, 20223Jan 26, 20223
Ning-Yu KaoDon’t use One-Hot Encoding Anymore!!!In machine learning, we usually need to transform categorical features into numerical features for training. This preprocessing method is…May 3, 202228May 3, 202228
InTDS ArchivebySoner YıldırımMy Understanding of Data Science is Evolving to a New DirectionAnd I do not know how to feel about itOct 7, 20228Oct 7, 20228
InTDS ArchivebySachin DateThe White Noise ModelThe most important statistical modelAug 28, 20203Aug 28, 20203
InAttenchen to DetailbyMichael ChenML Engineer Interview MapI recently finished interviewing at a good amount of places and wanted to share my thoughts on the types of interviews you would encounter…Jun 7, 2022Jun 7, 2022
Crystal XHow to check cosine similarity in two columns of dataIn a previous blog post I discussed how to measure cosine similarity between two of more strings of text, but in this post I decided to…Jul 5, 2022Jul 5, 2022
InTDS ArchivebyAli SStop Using SMOTE to Treat Class Imbalance. Take This Intuitive Approach InsteadLet’s expose the myth; SMOTE doesn’t deserve the hype. This simple approach does!Apr 2, 202215Apr 2, 202215
InDataBullsbyHasan Basri AkçayWhat Are The Differences Between Data Scientists That Earn 500💲 And 225.000💲 Yearly?This article is about important talents, tools, features of the country, and features of the company for high income in data science.Dec 27, 20211Dec 27, 20211
InLow Code for Data SciencebyMaarit WidmannFrom Modeling to Scoring: Correcting Predicted Class Probabilities in Imbalanced DatasetsCorrect the predicted class probabilities by the information on the a priori class distributionMay 4, 2022May 4, 2022
Dr. Walid SoulaData Science | CovarianceIn this article you will understand everything there is to know about covarianceJul 13, 2022Jul 13, 2022
Dr. Meisam Yadollahzadeh-TabariHow to handle Imbalanced Data for Classification. Case study: Credit Card Fraud Detectionyou can find the complete code related to this story, here: https://github.com/mtabari/Imbalanced-Data-handeling-for-Frud-DetectionFeb 12, 20221Feb 12, 20221
