YokaiWants ToLearn

[YokaiWants ToLearn @LetYokaiLearn]

I'm publicly committing to the #60DaysOfLearningWithLeapfrog challenge starting June first. My goal is to learn something new each day and tweet the learnings. #60DaysOfLearning #LearningWithLeapfrog
@lftechnology

[YokaiWants ToLearn @LetYokaiLearn]

Day 60 of #60DaysOfLearning2023
Completed Bayes Theorem. Basically, the theorem describes the probability of an event's occurrence based on related conditions.
Implemented it for our last dataset getting 0.9 accuracy.
(0.93 for KNN)
@lftechnology
#LearningWithLeapfrog #LSPPD60

[YokaiWants ToLearn @LetYokaiLearn]

Day 59 of #60DaysOfLearning2023
Today I started Bayes Theorem and Naive Bayes algorithm in machine learning. Learned about its use. Will continue it tomorrow too.
@lftechnology
#LearningWithLeapfrog #LSPPD59

[YokaiWants ToLearn @LetYokaiLearn]

Day 58 of #60DaysOfLearning2023
Today I learned in detail about the kernel svm, where I learned about kernel trick, different types of kernel, how to convert the data into higher dimension space and implemented in the previous dataset.
@lftechnology
#LearningWithLeapfrog #LSPPD58

[YokaiWants ToLearn @LetYokaiLearn]

Day 57 of #60DaysOfLearning2023
Today I implemented the support vector machine on the previous dataset. We used the linear kernel which gave us the accuracy of 0.9, while we got 0.93 for K-NN algorithm.
@lftechnology
#LearningWithLeapfrog #LSPPD57

[YokaiWants ToLearn @LetYokaiLearn]

Day 56 of #60DaysOfLearning2023
Today I learned about support vector machine and how it can be implemented in real life scenario.
@lftechnology
#LearningWithLeapfrog #LSPPD56

[YokaiWants ToLearn @LetYokaiLearn]

Day 55 of #60DaysOfLearning2023
Implemented K-Nearest Neighbor to determine if the user's buy's the SUV or not . Used the KNeighborsClassifier class from SkLearn. Comparing to logistic regression, the accuracy surely increased.
@lftechnology
#LearningWithLeapfrog #LSPPD55

[YokaiWants ToLearn @LetYokaiLearn]

Day 54 of #60DaysOfLearning2023
Today I went through Pandas where I learned about Data Frames, indexes, slicing, iloc, loc, a little bit of filtering data and sorting data and few little things.
@lftechnology
#LearningWithLeapfrog #LSPPD54

[YokaiWants ToLearn @LetYokaiLearn]

Day 53 of #60DaysOfLearning2023
Learned about K-Nearest Neighbor. Why is it used and how it is used in real world case.
Also saw about its advantage and disadvantages.
Everything is listed in the picture below.
@lftechnology
#LearningWithLeapfrog #LSPPD53

[YokaiWants ToLearn @LetYokaiLearn]

Day 52 of #60DaysOfLearning2023
Implemented logical regression classifier using sklearn.linear_model's LogisticRegression class.
Used a dataset have independent variable age and salary and dependent variable 0 or 1 to predict the value
@lftechnology
#LearningWithLeapfrog #LSPPD52

[YokaiWants ToLearn @LetYokaiLearn]

Day 51 of #60DaysOfLearning2023
Today I learned about Evaluating Regression Models Performance by using R squared and Adjusted R Squared method and saw the math behind it, also saw a video trying every regression model for a dataset.
@lftechnology
#LearningWithLeapfrog #LSPPD51

[YokaiWants ToLearn @LetYokaiLearn]

Day 50 of #60DaysOfLearning2023
Today I learned about Logistic regression and its differences from linear regression. Logistic regression is generally used to categorical dependent variable using probability and Sigmoid function curve
@lftechnology
#LearningWithLeapfrog #LSPPD50

[YokaiWants ToLearn @LetYokaiLearn]

Day 49 of #60DaysOfLearning2023
Today I implemented the random forest regression for the airfoil self noise dataset. Used ensemble module from sklearn and used the RandomForestRegressor class.
Got the error of 1.7 on the dataset.
@lftechnology
#LearningWithLeapfrog #LSPPD49

[YokaiWants ToLearn @LetYokaiLearn]

Day 48 of #60DaysOfLearning2023
Today I trained a model for airfoil self noise with decision tree regression.
I also dived into Random Forest Algorithm and learned its differences from Decision Tree and learned how it works.
@lftechnology
#LearningWithLeapfrog #LSPPD48

[YokaiWants ToLearn @LetYokaiLearn]

Day 47 of #60DaysOfLearning2023
Dived deeper into decision tree and understand it even more and used the sklearn's class called DecisionTreeRegressor to implement in the same level/salary dataset.
@lftechnology
#LearningWithLeapfrog #LSPPD47

[YokaiWants ToLearn @LetYokaiLearn]

Day 46 of #60DaysOfLearning2023 Explored Decision tree algorithm. It simplifies complex decisions by creating a tree-like structure with nodes representing features, branches with feature values, and leaves with outcomes.
@lftechnology
#LearningWithLeapfrog
#LSPPD46

[YokaiWants ToLearn @LetYokaiLearn]

Day 45 of #60DaysOfLearning2023
Learned more about support vector regression and about kernel trick.
Today I implemented support vector regression in python to create a model for salaries for different level of position.
@lftechnology
#LearningWithLeapfrog #LSPPD45

[YokaiWants ToLearn @LetYokaiLearn]

Day 44 of #60DaysOfLearning2023
Back to machine learning course, where I learned about Simple Vector Regression and about the kernel trick.(Theory only)
@lftechnology
#LearningWithLeapfrog #LSPPD44

[YokaiWants ToLearn @LetYokaiLearn]

Day 43 of #60DaysOfLearning2023
Today I learned about Git and GitHub where I learned commands like status, history, add, commit and learned how to link your local file with your GitHub repo and then push your commit into the repo.
@lftechnology
#LearningWithLeapfrog #LSPPD43

[YokaiWants ToLearn @LetYokaiLearn]

Day 42 of #60DaysOfLearning2023
I missed day 41. Today I dived deeper into matplotlib.pyplot in details where I learned how to plot graph , scatter points, use color bars, and to draw pie chart, histograms and many more.
@lftechnology
#LearningWithLeapfrog #LSPPD42

[YokaiWants ToLearn @LetYokaiLearn]

Day 40 of #60DaysOfLearning2023
Today I learned about Linear Polynomial Regression and compared linear regression with polynomial regression and learned when to use which.
@lftechnology
#LearningWithLeapfrog #LSPPD40