Part of the journey is the end ~ Robert Downey Jr.

But I believe the journey has just begun. WWCD Mentorship program gave me a great opportunity to be mentored, to be heard, to be understood, and to be helped. …


After an amazing Week-3, we stepped into Week-4 of the mentorship program. Week 4 was all about interviews and how to prepare for them. This week’s mentorship call was extremely fruitful because our mentor, Saumya Singh, shared some valuable resources for interview preparation.

At the beginning of our call, Saumya…


So we’re three weeks into the Mentorship Program and so far it’s been great. You can read more about my enriching experience here- Week 1, Week 2.

In Week 3, we dived more into Open Source and how one can contribute to it.

Our mentor, Saumya Singh told us that…


After an enlightening week, we moved on to Week 2 of WWCD Mentorship Program 3.0. In Week 1, we discussed various programs and opportunities like GSSoC, GHC, etc. We also talked about contributing to open source and how welcoming and rewarding the open-source community is. …


“ Regardless of our title or years of experience, we can learn from each other. Through mentoring and by being open to learn we can reach our ultimate potential.” –Lily Benjamin

Recently, I came across a post from Women Who Code Delhi. Women Who Code is an international nonprofit organization…


Linear Regression is one of the first algorithms you will learn when you begin your journey into the fields of Data Science and Machine Learning. Through this blog, we will not only understand what Linear Regression is but also implement the algorithm from scratch.

Now, before we dive into it…


Photo courtesy: https://www.einfochips.com

What is a Confusion Matrix and why do we need it?

Suppose that we have a simple binary classification problem: Given some datasets, our model should indicate whether the person has heart disease or not. Now we train a model and it's time to evaluate it. But how can we evaluate our model’s performance? How effective is our model? Better the…


Machine learning is a data science technique used to extract patterns from data, allowing computers to identify related data, and forecast future outcomes, behaviors, and trends.

Before we start breaking the above statement down, let us first understand how machine learning is different from traditional programming.

Photo from Pinterest

In Traditional Programming, we…

Somya Maheshwari

learning, growing.

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