Konstantin Lyakhov

Independent R&D

#Math #AI #ArtificialIntelligence #MachineLearning #DeepLearning #BigData #DataAnalysis #DataMining #DataScience #CognitiveScience

[Konstantin Lyakhov @rifcoru]

Hyperparameter tuning guide by @shubhendubro https://t.co/mfgTebcxL3

[Konstantin Lyakhov @rifcoru]

Comprehensive Guide to GitHub for Data Scientists by Vatsal in @TDataScience https://t.co/s4DRA2Kijk

[Konstantin Lyakhov @rifcoru]

Volatility Modeling 101 in Python: Model Description, Parameter Estimation, and Simulation by Peyman Kor https://t.co/lgWSRVvadM

[Konstantin Lyakhov @rifcoru]

Time Series Forecasting using Kalman Filter by @mehulgupta7991 https://t.co/vex759KiaY

[Konstantin Lyakhov @rifcoru]

Let time series analysis predict whether climate change is real by Tracyrenee https://t.co/if3PQ09VeJ

[Konstantin Lyakhov @rifcoru]

6 Python Things That Make It My Favourite Language by Zlliu https://t.co/RepUBI5dmM

[Konstantin Lyakhov @rifcoru]

How To Call a Python Function With A String? by @louischanloyuet https://t.co/YIPrOqYOrO

[Konstantin Lyakhov @rifcoru]

Why Accuracy Is Not A Good Metric For Imbalanced Data by @DaNecromancer https://t.co/1wgEYHyYvM

[Konstantin Lyakhov @rifcoru]

Time Series Clustering for Stock Market Prediction in Python- Part 1 https://t.co/eCYRN4Dnbr

[Konstantin Lyakhov @rifcoru]

Understanding K-means Clustering: Hands-On with SciKit-Learn by @cdanielaam https://t.co/gYGQvD6hxv

[Konstantin Lyakhov @rifcoru]

Basics of Clustering by @pedroecarrion https://t.co/eAONlk32Kb

[Konstantin Lyakhov @rifcoru]

Hyperparameter tuning with keras-tuner full tutorial by Haneul Kim https://t.co/9HSeEJq1F9

[Konstantin Lyakhov @rifcoru]

Classification Metrics — why accuracy is inaccurate! by Saurabh https://t.co/VBGVPxnDok

[Konstantin Lyakhov @rifcoru]

Object Detection — A Modular Approach by Shreejal Trivedi https://t.co/0DxzGTQkMP

[Konstantin Lyakhov @rifcoru]

Hyperparameter Optimization (Random Forest Classifier) by @yogaawicaksana https://t.co/v5srpZyvPj

[Konstantin Lyakhov @rifcoru]

Churn Prediction with XGBoost by Seun Ashaka https://t.co/iUvYPc6Mzy

[Konstantin Lyakhov @rifcoru]

Automate Time Series Feature Engineering in a few lines of Python Code by @aigeek7 in @TDataScience https://t.co/sKmR99EKB5

[Konstantin Lyakhov @rifcoru]

Getting Started with Randomized Optimization in Python by @genevievekhayes in @TDataScience https://t.co/VFGVmo6Htj

[Konstantin Lyakhov @rifcoru]

Simplest Guide: Decision Tree, Random Forest, Gradient Boosting, and XGBoost by Victor Chen https://t.co/Dtrfmgutn9

[Konstantin Lyakhov @rifcoru]

How to tell if your model is over-fit using unlabeled data by Elan Stopnitzky in @TDataScience https://t.co/JL7fOjpJ00