TrainFirm- The ML and DataScience corner

Learning corner for Machine Learning , Analytics , Statistics , Python , R and Lean Six Sigma. Detailed tutorials.

Web 144 2
Web 144 2
KMeans clustering algorithm
KMeans clustering algorithm
Simple linear regression using Stochastic Gradient Descent .#linearregression #gradientdescent
Simple linear regression using Stochastic Gradient Descent .#linearregression #gradientdescent
Simple Linear Regression in python , Jupyter notebooks , Python codes for SLR
Simple Linear Regression in python , Jupyter notebooks , Python codes for SLR
Built in functions and simplifying operators in Python for machine learning
Built in functions and simplifying operators in Python for machine learning
Changing the directory or location or work directory in Python #ML , #TRAINFIRM , #CHANGE DIRECTORY
Changing the directory or location or work directory in Python #ML , #TRAINFIRM , #CHANGE DIRECTORY
KNN calssification algorithm , Jupyter notebooks , Python codes KNN , #MLWITHTRAINFIRM #MLWITHMATHEW
KNN calssification algorithm , Jupyter notebooks , Python codes KNN , #MLWITHTRAINFIRM #MLWITHMATHEW
Ball Trees , Trees , KNN , NN Algorithm , #MLWITHTRAINFIRM , #MLWITHMATHEW , Curse of Dimensionality
Ball Trees , Trees , KNN , NN Algorithm , #MLWITHTRAINFIRM , #MLWITHMATHEW , Curse of Dimensionality
KD Trees , KNN , NN , Nearest Neighbor , Curse of Dimensionality ,#MLWITHTRAINFIRM , #MLWITHMATHEW
KD Trees , KNN , NN , Nearest Neighbor , Curse of Dimensionality ,#MLWITHTRAINFIRM , #MLWITHMATHEW
Euclidean , Minkowski , Manhattan, Distances FOR KNN , NN ALGORITHMS
Euclidean , Minkowski , Manhattan, Distances FOR KNN , NN ALGORITHMS
NEAREST NEIGHBOR , K - NEAREST NEIGHBOR , INTRODUCTION TO KNN , CONCEPTS OF KNN CLEARLY EXPLAINED
NEAREST NEIGHBOR , K - NEAREST NEIGHBOR , INTRODUCTION TO KNN , CONCEPTS OF KNN CLEARLY EXPLAINED
"Data Science Launcher" from TrainFirm.
Introduction to Machine Learning by Mathew(TrainFirm)
Introduction to Machine Learning by Mathew(TrainFirm)
ARIMA WITH R BY TRAINFIRM
ARIMA WITH R BY TRAINFIRM
# ARIMA # ACF# PACF#TIME SERIES#FORECASTING#(p,d,q)#Auto Regressive #Stationary #LAG # DIFFERENCING
# ARIMA # ACF# PACF#TIME SERIES#FORECASTING#(p,d,q)#Auto Regressive #Stationary #LAG # DIFFERENCING
#ANOVAWITHTRAINFIMR #ANOVAWITHMATHEW #TRAINFIRM #STATSWITHTRAINFIRM #ANOVA #VARIATIONWITHTRAINFIRM
#ANOVAWITHTRAINFIMR #ANOVAWITHMATHEW #TRAINFIRM #STATSWITHTRAINFIRM #ANOVA #VARIATIONWITHTRAINFIRM
#Single exponential smoothing model #MLWITHMATHEW #TIMESERIESWITHTRAINFIRM #TIMESERIESWITHMATHEW
#Single exponential smoothing model #MLWITHMATHEW #TIMESERIESWITHTRAINFIRM #TIMESERIESWITHMATHEW
#Timeseries #Ratiotomoving average #Movingaverage #Forecasting #multplicative
#Timeseries #Ratiotomoving average #Movingaverage #Forecasting #multplicative
#MLWITHTRAINFIRM #TimeSeries #TrendAnalysis #Seasonality #Trend #Forecasting
#MLWITHTRAINFIRM #TimeSeries #TrendAnalysis #Seasonality #Trend #Forecasting
#ControlImpactMatrix #Lean #SixSigma #Screening tool for X's #KPIV
#ControlImpactMatrix #Lean #SixSigma #Screening tool for X's #KPIV