PinnedDeeksha SharmaLessons Learned from the “ChatGPT Prompt Engineering for Developers” CourseIn the realm of prompt engineering for developers, there is an abundance of articles highlighting the top 30 or 50 prompts one should be…May 14, 2023May 14, 2023
Deeksha SharmaStep by Step Machine Learning: AdaboostAdaBoost, short for Adaptive Boosting, is a method that combines weak classifiers repeatedly to produce a powerful classifier. In this…May 16, 2023May 16, 2023
Deeksha SharmaStep by Step Machine Learning: Random ForestRandom Forest is a versatile and powerful machine-learning algorithm that is widely used for both regression and classification tasks. It…May 13, 20231May 13, 20231
Deeksha SharmaStep by Step Machine Learning: Support Vector MachineHere is another machine-learning algorithm known as Support Vector Machine (SVM for short). This can work both as a classifier and a…May 13, 2023May 13, 2023
Deeksha SharmaStep-by-Step Machine Learning: Naive BayesNaive Bayes is a machine-learning algorithm based on Baye’s theorem we all studied in our probability classes back in school. So, let me…Jan 11, 2023Jan 11, 2023
Deeksha SharmaStep by Step Machine Learning: Decision TreeA decision tree is a non-parametric supervised machine learning algorithm that can be used for classification and regression. They use…Dec 23, 2022Dec 23, 2022
Deeksha SharmaStep by Step Machine Learning: K Nearest NeighboursK Nearest Neighbour or KNN is one of the supervised machine learning algorithms. It is simple yet a powerful algorithm. It comes under the…Dec 23, 2022Dec 23, 2022
Deeksha SharmaStep by Step Machine Learning: Logistic RegressionOne might wonder if linear regression can be used for a binary classification task by setting a threshold on the predicted value of the…Nov 20, 2022Nov 20, 2022
Deeksha SharmaStep by Step Machine Learning: Linear RegressionLinear regression is used to determine the existence of a linear relationship between the dependent and independent variables. The equation…Sep 24, 2022Sep 24, 2022