Skills this role asks for
Machine Learning Fundamentals
Artificial Intelligence (AI)
Data Science Fundamentals
Data Collection
Data Cleaning
Data Preprocessing
Exploratory Data Analysis (EDA)
Feature Engineering
Feature Selection
Supervised Learning
Unsupervised Learning
Classification
Regression
Clustering
Model Training
Model Evaluation
Model Validation
Cross Validation
Hyperparameter Tuning
Performance Metrics
Overfitting Prevention
Underfitting Analysis
Neural Networks
Deep Learning Fundamentals
Decision Trees
Random Forests
Support Vector Machines (SVM)
K-Nearest Neighbors (KNN)
Linear Regression
Logistic Regression
Predictive Analytics
Pattern Recognition
Data Visualization
Python for Machine Learning
Scikit-learn Fundamentals
TensorFlow Basics
Model Deployment Fundamentals
AI Ethics
Critical Thinking
Statistical Analysis
Problem Solving
Algorithm Development
Data-Driven Decision Making
