Scikit-learn or sklearn, is a must if you want to go into Data Science. It is one stop, easy to use, well-documented, and open source library for Machine learning, Preprocessing, validation and Visualisation algorithms.
#Scikitlearn#MachineLearning#Python#DataScience
GridSearchCV is preferred when you either have time and resources or small param grid.
If not RandomizedSearchCV is used as it selects random sets instead of exhausting the search space.
#MachineLearning#Hyperparametertuning#ArtificialIntelligence
One thing you learn after trying out various AI projects is that Hyperparameter tuning only works when you understand clearly what hyperparameters suits you data, model, use case the best.
#MachineLearning#Hyperparametertuning#ArtificialIntelligence
img src:AnalyticsVidya
When you were attending a class out of curiosity but ended up making your first AI model for detecting social distance violations. And here you are 4 years later still obsessing over learning every nook and cranny of AI.
#Journey#ArtificialIntelligence#ComputerVision
If you take a tree then another tree and then another one and so on you make a forest where each tree contributes to the sustaining the whole ecosystem. Now I understand why Random Forest is called Random Forest.
#MachineLearning#DecisionTrees#RandomForest
To understand decision trees imagine a flow chart where each level has a "if conditions" which increase with incease in depth. And we make the flow chart till we obtain values that satisfy all the encountered conditions.
#DecisionTrees#MachineLearning
โThereโ s much to know and life is short, and a life without knowledge is not a life. Itโs a singular skill effortlessly to learn much from many, gaining knowledge from all.โ
-BALTASAR GRACIรN