
Basics of Knime, Where to Download and a Basic workflow example
Learn in KNIME how to check missing values, distinguish numeric and nominal fields, visualize data with a box plot, and remove missing values and outliers to improve model accuracy.
Demystify machine learning through predictive modeling concepts, regression and overfitting, and bias-variance tradeoffs. Explore training versus testing, cross-validation, and hyperparameters for reliable models.
Explore linear regression in KNIME, handling missing values, selecting significant predictors, validating with r-squared and residual analysis, and assessing income predictability using scatterplots, histograms, and normality tests.
Explore logistic regression theory as a probabilistic binary classifier using a logistic function, cover logit, and evaluate models with confusion matrices, precision, recall, and accuracy.
Learn Knime decision trees for predicting discrete or continuous targets via supervised learning, using root and leaf nodes, with train-test partitioning and confusion matrix evaluation in business contexts.
Use knime to predict heart disease with a balanced dataset and train/test partitioning. Compare logistic regression, random forest, and gradient boosting with auc, accuracy, and recall to choose the model.
This is a course for Business Enthusiasts who look for data-driven decision-making techniques for different business scenarios. This would provide a basic and intermediate level understanding of different Machine Learning Algorithms and how they can be implemented in KNIME. It would also teach the students how to judge the different Machine Learning Algorithms and which ones will fit your business scenario. KNIME is free and powerful software that has a vast number of business use cases. KNIME is used in many huge corporates and also in startups. This would also be ideal for any student who is pursuing an MBA with a major in Operations and Data Science.
KNIME Analytics Platform is the open-source software for creating data science. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone. Knime is a great tool of choice for people with no programming background and looking for a free tool. Knime is a great tool for people not fully comfortable with python syntax. It is great for database manipulation and wrangling. It has a visual drag and drop interface and allows an amazing number of advanced data analytics. KNIME Software allows you to reach back into the data science cycle at predetermined touchpoints to update data sources, tweak parameters, inject domain knowledge, and more - all this without touching an actual workflow.
SO LET"S CRACK KNIME TOGETHER!!!!!!