Embarking on an AI journey- focus on the following Africa4Ai

1. Afraica4AI
Embarking on a
Machine Learning AI
Journey?
Data form: Numeric, Text, Image, Audio,
video,GIS
Programming Language:
Python,R, SQL
Packages: Pandas,Numpy, Dplyr
IDE: Jupyter Notebook &
Rstudio
Data visualisation: matplotlib,plotly &
ggplot2
Descriptiveanalytics
Datatransformation:Reshaping,mapping,
imputation,splitting,balancing,conversion
FeatureengineeringI: scaling,creation,
encoding,,binning,outliers&missingdata
handling,selection,standardisation,
aggregating,
Machinelearning:types,algorithms, scikit
Learn, modeltraining,regularisation,
overfitting,hyperparametertuning,cross-
validation,ensemble,evaluationmetrics,
boosting,bagging stacking.
Clustering:K-meansandhierarchical
clusteringanalysis
Featureengineering II: Interaction,matrix
factorizations, normalisation, date-time,
distance, statisticsbasedfeatures,
standardisation.
Dimensionality reduction: Factor analysis,
PCA, t-SNE, tsoMAP, UMAP, independent
component analysis
Cloud Computing: Colab, GCP AWS, MS
Azure
ModelDeployment: Pickle, Flask, Gunicorn
Reinforcement learning
Mathematics: Linear Algebra,Calculus,
Probability&distribution,AnalyticGeometry
Beginner Acquire Intermediate Practice Advanced Compete