I am a Data Science enthusiast and I have keen interest in Machine Learning. As both fields are interconnected and I wanted to explore new field.
What it does
I performed machine learning on iris dataset for classification of iris flower.
How I built it
->Loading the dataset. ->Summarizing the dataset. ->Visualizing the dataset. ->Evaluating some algorithms. ->Making some predictions.
Challenges I ran into
Got some errors, it's the part of development process.
Accomplishments that I'm proud of
Finally I did my first Machine Learning Project and did some visualization on the basis of my previous knowledge.
What we learned
Making predictions and evaluating algorithms.
What's next for Explored Machine Learning
Diving deep into machine learning and doing more cool projects.