Kaggle

Deep Learning based Convolutional Neural Networks (CNN) for Image recognition using Keras and Tensorflow in R Studio

Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners

Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python

Learn imputation, variable encoding, discretization, feature extraction, how to work with datetime, outliers, and more.

Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R

Financial data analysis, customer segmentation analysis, financial growth projection, budgeting with SQL

Master Pandas: Real-World Data Cleaning, Feature Engineering, Visualisation, Statistical Analysis Challenges

This book guides professionals and students from various backgrounds to use machine learning in their own fields with low-code platform KNIME and without coding. Many people from various industries need use machine learning to solve problems in their own domains. However, machine learning is often viewed as the domain of programmers, especially for those who are familiar with Python. It is too hard for people from different backgrounds to learn Python to use machine learning. KNIME, the low-code platform, comes to help. KNIME helps people use machine learning in an intuitive environment, enabling everyone to focus on what to do instead of how to do.