Bhanwar Saini·Mar 11, 2021Outlier Detection in Machine LearningLearn how to efficiently detect outliers!
Bhanwar Saini·Feb 23, 2021What Is It Like to be Rich From Day TradingIntra-day trading is buying and selling stocks on the same day. Countless traders do this type of day trading to earn quick money. Day…
Bhanwar Saini·Feb 22, 2021Gradient Boosting in python using scikit-learnGradient boosting has become a big part of Kaggle competition winners’ toolkits. It was initially searched in earnest by Jerome Friedman…
InDataDrivenInvestorbyBhanwar Saini·Feb 14, 2021Top 5 Trading Books to Improve Market StrategiesMarket Psychology Books Can Improve Your Trading StrategiesA response icon1A response icon1
InDataDrivenInvestorbyBhanwar Saini·Feb 12, 2021Why You Should Ignore Fundamentals When Day TradingWhether you day trade forex, stocks, or futures, don’t get distracted by fundamental analysis. While fundamentals are relevant to…
InArtificial Intelligence in Plain EnglishbyBhanwar Saini·Feb 11, 2021Gaussian Mixture Models in ClusteringIn particular, the non-probabilistic nature of k-means and its use of simple distance from cluster center to assign cluster membership…
InThe StartupbyBhanwar Saini·Feb 11, 2021The Most Common Clustering Algorithm for Data Science and Their CodeIn supervised learning, we know the labels of the data points and their distribution. However, the labels may not always be known…
InDataDrivenInvestorbyBhanwar Saini·Feb 11, 2021Hierarchical Clustering Algorithm Example in PythonHierarchical Clustering uses the approach of finding groups in the data such that the instances are more similar to each other than to…
InDataDrivenInvestorbyBhanwar Saini·Feb 10, 2021What I Learned From Making $174,083 A Month From Day TradingWhat have I learned from making $174,083 a month from day trading? I logged into my trading account to show my profits for the year, which…A response icon1A response icon1
InArtificial Intelligence in Plain EnglishbyBhanwar Saini·Feb 7, 2021K-Means and K-Modes Clustering AlgorithmThis technique is the same as K-Means but more robust towards outliers because of the median, not mean, because K-Means optimizes the…A response icon1A response icon1
