When I was in the second year of my B. Tech degree, my counsellor called me and my friend to her cabin and told us that, there is going to be an International conference about technical advancements in Computer Science(ICTASCE) in a few months.

We were dumbfounded, as we had zero technical knowledge then.

Thankfully, our counsellor provided us with a roadmap and what we need to do.

First, we understood that our main task is to compare 6 machine learning algorithms: K-Nearest Neighbours(KNN), Decision Tree, Random Forest, Logistic Regression, Naive Bayes and Support Vector Machine(SVM).

Then, we needed to choose a dataset on which we could apply these algorithms.

With the help of Kaggle, we found a Breast Cancer Prediction dataset, that was highly rated and trusted, and decided to work on it.

So now, all we had to do was completely learn all the algorithms, code them in python and apply them to the dataset to find the accuracy at which we can predict Breast cancer.

Sounds easy? Well, it took us around two months to do that.

After watching hours of content on YouTube, especially from SimpliLearn's Machine learning content, we understood how each algorithm works and also how to implement it.

We used Google Colab to execute the python code of every algorithm.

Then, we created a word document that had the description and architecture of every algorithm, along with references to related research papers.

Our counsellor edited the word document and Voila!

We completed our research paper!

Now it was time for the final destination, the conference. Due to COVID, I decided to attend the conference online.

I created a presentation that covered all the required topics and I had to present the abstract in the first stage.

Shockingly, there were several PHD holders and teachers who were presenting along with me. I believed for sure that I won't be qualifying for the next stage.

I guess thanks to my clear and crisp explanation, we moved on to the next stage.

Now, I had to present the entire presentation in under 7 minutes.

I tried my best to do so but failed to cover even half of it.

But, I answered every question of the judges to the point.

Finally, we were one of the 76 finalists across the world that got to publish their research paper in the official conference journal.

Here are some resources that might help you out:

Simplilearn Machine Learning Course

Python for Machine Learning

How to write research papers