We, at iDAF, are so proud of every one of our fellows. And we are happy to share yet another article with you all.
The goal of building a machine learning model (especially in classification problems) is to capture the underlying patterns in the training data and predict the outcome of a new observation. Building a model requires training and testing data. The model is initially built on training data, mapping its features with the target variable. Afterwards, the model’s performance is evaluated with the test data.
It is important not to get carried away by high accuracy…
Jim Rohn rightly stated when he said, “Make measurable progress in reasonable time.”
It would be an understatement to classify the progress of our fellows to be small. The journey started November 4th, 2019, and this is their seventh month on being trained on Data Science.
This article is tagged: CONFUSED ABOUT THE CONFUSION MATRIX? BE CONFUSED NO MORE! Are you not intrigued already?
Here it goes:
One of the most popular metrics for evaluating the performance of a supervised learning classification model is ‘accuracy’. It is used to measure the ratio of the correct classifications made by the classifier…
We, at iDAF, are incredibly proud of the progress each of the fellows undergoing the iAspire Data Science Fellowship has made for the past months, We cannot but be joyfully overwhelmed at the progress of each of them. And we are grateful to friends/partners who all joined in helping these youths build their great futures.
The joy of empowering youths starts when they begin to put what you have trained them on to use. In this newsletter, we want to share with you an article from one of the fellows.
The article is tagged: A Statistical Comparison of Logistic Regression…
This pandemic period has been a busy period for us at the Information and Data Analytics Foundation (iDAF)!
Here’s one of the things we’ve been up to:
We at iDAF understand that with the rapid spread of the news on COVID-19, it is hard to know where to turn to for information.
We know how you feel, and with this in mind; we took extra care in creating a platform to ensure that the right information on the spread of COVID-19 gets to you.
The numbers of those that have tested positive and those that have recovered; even details on…
Information and Data Analytics Foundation (iDAF) is a registered non-profit organization whose vision is to create an Artificial Intelligence (A.I.) empowered community.
We are a non-profit organization whose mission is to use artificial intelligence to: