Quote from Habeeb on December 3, 2022, 11:03 am

The following are essential in creating AI:

1. Identify the problem: Create data or chose a dataset for the problem because the machine is learning from the past data, after identifying the problem, know if it is a regression or classification problem
2. Prepare the data:  Clean the data and process it before passing it to the algorithm, you can explore data cleaning tools such as excel, power BI and tableau for numerical data cleaning
3. Chose the algorithms: Chose the right algorithm for your clean dataset. Hints on the model: ANN works well when dealing with the numerical dataset, CNN works perfectly for image datasets, and RNN for text datasets. Several machine learning models can also be explored, kindly watch this (https://www.youtube.com/watch?v=I7NrVwm3apg) to learn a series of ML model
4. Train the algorithms: Train the algorithm to achieve your goal. You can use several models before you conclude on which one to conclude.
5. Obtain the result and deploy the best result: Obtain your result before the final deployment