About this course
Learn about common machine learning algorithms, their pros and cons, and develop hands-on skills to leverage them.
Applied machine learning: Algorithms
49sWhat you should know
1m 4sK-means
7m 46sK evaluation
8m 10sUnderstanding clusters
7m 59sOther algorithms
2m 44sChallenge: Apply KNN
54sSolution: Apply KNN
7m 24sPCA
3m 38sStructure of components
4m 8sComponents
5m 23sScatter plot
2m 18sOther algorithms
4mChallenge: Utilize PCA
34sSolution: Utilize PCA
4m 24sLinear regression algorithm
4m 34sscikit-learn
4m 18sReal-world example
6m 14sAssumptions
6m 4sChallenge: Develop a linear regression model
34sSolution: Develop a linear regression model
2m 7sLogistic regression algorithm
1m 19sBasic example
1m 49sAssumptions
4m 7sChallenge: Construct a logistic regression model
12sSolution: Construct a logistic regression model
4m 50sDecision tree algorithm
4m 12sReal-world example
6m 28sRandom Forest and XGBoost
4m 9sChallenge: Design a decision tree model
25sSolution: Design a decision tree model
4mNext steps
1m 26s