Daksh TrehaninTowards AIServing Data Science to a RookieSo, last week my team head asked me to interview some of the possible interns for the team, for the role of data science and machine…Apr 15, 2020Apr 15, 2020
Daksh TrehanWhat exactly Machine Learning is?We all have heard of Machine Learning and all it’s perks. It might be hottest field right now but most of still are really not sure what…Apr 6, 2020Apr 6, 2020
Daksh TrehanWho uses Machine Learning and Why?So as discussed what exactly is machine learning? , now next step to know is who use machine learning and what’s exactly there purpose to…Apr 6, 2020Apr 6, 2020
Daksh TrehaninLevel Up CodingRelating Machine Learning Techniques to Real-Life.Explaining types of ML model as easy as it could be.Apr 22, 2020Apr 22, 2020
Daksh TrehaninDataDrivenInvestorDetermining perfect fit for your ML model.Teaching Overfitting vs Underfitting vs Perfect fit in easiest way.Apr 25, 2020Apr 25, 2020
Daksh TrehaninTowards AIOne-Line, Magical Code to Perform EDA!One line solves all your problems!Apr 24, 2021Apr 24, 2021
Daksh TrehaninTowards AIStart-off your ML journey with K-Nearest Neighbors!Detailed theoretical explanation and scikit-learn implementation with example!Jun 27, 20201Jun 27, 20201
Daksh TrehaninTowards AILinear Regression ExplainedExplaining Linear Regression as easy as it could be.May 7, 2020May 7, 2020
Daksh TrehaninTowards Data ScienceGradient Descent ExplainedA comprehensive guide to Gradient DescentMay 22, 2020May 22, 2020
Daksh TrehaninTowards Data ScienceLogistic Regression ExplainedExplaining Logistic Regression as easy as it could be.May 14, 2020May 14, 2020
Daksh TrehaninTowards AISupporting the Math Behind Supporting Vector Machines!A quick tour to SVM constituting mathematical & theoretical explanation along with from the scratch implementation.Jun 30, 2020Jun 30, 2020
Daksh TrehaninTowards AIWhy Choose Random Forest and Not Decision TreesA concise guide to Decision Trees and Random Forest.Jul 2, 2020Jul 2, 2020
Daksh TrehaninTowards AINatural Language Processing: What, Why, and How?A complete beginner’s handbook to NLPMay 4, 2021May 4, 2021
Daksh TrehaninTowards AIClustering : What it is? When to use it?A comprehensive guide to K-Means, K-Means++ and DBSCAN.Jun 28, 2020Jun 28, 2020
Daksh TrehaninTowards AIDiving Deep into Deep LearningAn Unconventional guide to Deep LearningJul 17, 2020Jul 17, 2020
Daksh TrehaninTowards AIHow do GPUs Improve Neural Network Training?What GPU have to offer in comparison to CPU?Jun 20, 20211Jun 20, 20211
Daksh TrehaninTowards AIConvolutional Neural Networks for DummiesA perfect guide to Convolution Neural NetworksJul 24, 2020Jul 24, 2020
Daksh TrehaninTowards AIRecurrent Neural Networks for DummiesA perfect guide to Recurrent Neural NetworksJul 30, 2020Jul 30, 2020
Daksh TrehaninTowards AIReinforcing the Science Behind Reinforcement LearningDummies guide to Reinforcement learning, Q learning, Bellman Equation.Aug 20, 2020Aug 20, 2020
Daksh TrehaninTowards AIUnderstanding LSTMs and GRUsA perfect guide to Long Short term Memory & Gated Recurrent Units.Aug 6, 20201Aug 6, 20201
