TeKnowledGeeK
Hello, I am Akshay Mukhopadhyay. I work as a Lead Big Data and Semantic Engineering Consultant, pioneering in machine learning, deep learning, and graph technology, an educator, and a mentor, with over 10 years of experience in the industry. TeknowledGeek is my YouTube channel where I explain various topics on big data, machine learning, deep learning, and AI with many real-world problem scenarios.
Stochastic Gradient Descent Explained with Python Code and Example
Feed Forward Neural Network Calculation by example 2 | Deep Learning | Artificial Neural Network
Interpreting ACF PACF Plots in Time Series Forecasting - order of AR and MA Model - TeKnowledGeek
Feed Forward Algorithm in Python | Deep Neural Network | Artificial Neural Network Calculations
Back Propagation Algorithm in Artificial Neural Network with Solved Example | Deep Learning | part-3
Back Propagation Algorithm in Artificial Neural Network with Solved Example | Deep Learning | part 2
Back Propagation Algorithm in Artificial Neural Network with Solved Example | Deep Learning | part-1
Feed Forward Neural Network Calculation by example | Deep Learning | Artificial Neural Network
#VAR Vector Auto Regression (VAR) model for Multivariate Time series Forecasting
#lstm #timeseries #multivariate LSTM Multivariate Time Series Forecasting in Keras
#LSTM LSTM Time Series Prediction using Vanilla RNN in Python with Keras
#FBbprophet Time Series Forecasting Using Facebook FbProphet
Time Series Forecasting using SARIMAX and compared with ARIMA
Covid 19 or Novel Corona Virus future forecasting using ARIMA model | Time Series Data Analysis
Time Series forecasting using ARIMA model | Air Passenger Dataset | part 4
Time Series forecasting using ARIMA model | Air Passenger Dataset | part 3
Time Series forecasting using ARIMA model | Air Passenger Dataset | part 2
Time Series Forecasting using ARIMA Model | part 1
Normalizer in SKLEARN Machine Learning | TeKnowledGeek
Column Transformer in machine learning | sklearn | TeKnowledGeek
Pipeline in Machine Learning | sklearn | TeKnowledGeek
One Hot Encoding | Different Types of Feature Engineering Encoding Techniques | TeKnowledGeek
Label Encoder | Different Types of Feature Engineering Encoding Techniques | sklearn | TeKnowledGeek
Alternative Feature Scaling Technique | sklearn | MaxAbsScaler | RobustScaler | TeKnowledGeek
Feature Scaling | Standardization Vs Normalization | Data Preprocessing | Python | TeKnowledGeek
Famous Normalization Technique | MinMaxScaler | How to do Feature Scaling in Machine Learning
Standard Scaler | How and Why Do We Need to Perform Feature Scaling | TeKnowledGeek
Iterative Imputer | how to handle missing data machine learning | TeKnowledGeek
KNN Imputer in sklearn | Handling missing term in dataset | AI and ML for beginners | TeKnowledGeek
Simple Imputer | how to handle missing data machine learning | TeKnowledGeek