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u/Night-Monarch

Day 5/60 of my Data Science Challenge 📊
▲ 2 r/learndatascience

Day 5/60 of my Data Science Challenge 📊

Today I learned:

1). Scatterplots in seaborn

2). KDE (Kernel Density Estimation) plots

I had already worked with scatterplots in matplotlib before, so it was interesting to see how much simpler and cleaner seaborn makes data visualization.

But honestly, I am starting to feel tired of data visualization now... The motivation dip is real.

Some days it feels exciting, and some days it feels repetitive and hard to stay focused.

But i remember this line:

“Consistency is harder when no one is clapping for you.”

Trying to remember that progress is still progress, even when it feels slow.

u/Night-Monarch — 2 hours ago
▲ 6 r/learndatascience

Day 4/60 of my Data Science Challenge 🚀

Today I learned about the differences between matplotlib and seaborn in Python visualization.

I studied lineplot, barplot and histogram using seaborn and compared how these plots are created in matplotlib vs seaborn.

What I understood:

1). Matplotlib gives more control and customization

2). Seaborn is built on top of matplotlib and makes plots cleaner and easier with less code

3). Seaborn also works really well with pandas DataFrames and statistical visualization

It was interesting to see how both libraries are used together in real data science workflows.

Will study more plots Tomorrow.

Till then bye bye 👋🏻

u/Night-Monarch — 1 day ago
▲ 7 r/learndatascience

Day 3/60 of my Data Science journey 🚀

Was a bit inconsistent yesterday coz I had to go out for some personal work, so Day 3 continues today 😅

Today I learned:

1). Subplots

2). Scatterplots

3). Stackplots

Also attached a scatterplot that I built while practicing today.

Planning to start Seaborn tomorrow.

Slow progress is still a progress...

Okk tata, over and out 🙌🏻

u/Night-Monarch — 2 days ago
▲ 7 r/learndatascience

Day 2/60 of My Data Science Challenge

This was the second day of my challenge and I started data visualization part. Started working with matplotlib and made many plots.

What have I studied today:

  1. Bar chart

  2. Horizontal bar chart

  3. Histogram

  4. Pie Chart

  5. Line plot

I practiced these data visualization techniques and built many different plots in each. I will also attach some plot.

I thought that i will cover full matplotlib but I couldn't. Well I will complete the remaining part tomorrow.

Till then tata bye bye 👋🏻

u/Night-Monarch — 4 days ago
▲ 8 r/learndatascience

Day 1/60 of My Data Science Challenge 🚀

Today was my first day of 60 day Data Science Challenge.

What I did today:

  1. Revised Numpy basics

  2. Understanding arrays and their properties & functions

  3. Array slicing

  4. Vectorized operations

  5. Fancy indexing and Boolean Masking

  6. Broadcasting of arrays

  7. Revised Pandas

  8. Series and Dataframe

  9. Dataframe properties and functions like loc, iloc, etc

  10. Filtering of Data with conditions

  11. Data cleaning and handling missing values

  12. map and replace functions on dataframe

  13. Sorting and Ranking

  14. melt and pivot functions to reshape dataframe

  15. groupby and merge function

  16. Reading and writing files in pandas

This was an effective day as i revised Numpy and Pandas libraries and got refreshed with it. Since I have already studied these libraries earlier, it was easy to revise them.

Looking forward to start data visualization with matplotlib and seaborn which i have studied earlier and will revise them tomorrow.

So yaa thats all for now and meet you Tomorrow.

GOODBYE 👋🏻

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u/Night-Monarch — 5 days ago
▲ 8 r/learndatascience

Starting a 60 days Data Science Challenge 🚀

Hi I am a CSE student starting to learn data science by taking a 60 days challenge to complete it.

I already know some libraries like numpy, pandas, seaborn and matplotlib. And I will be revising them before moving deeper into ML, scikit learn, projects and deep learning.

For the next 60 days I will be posting what i studied, concepts learned, what I built and the whole progress.

The Goal is to learn, stay consistent and become good at data science.

If anyone else is doing something similar then feel free to share some knowledge, advice or resources.

Day 1 starts Today 🔥

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u/Night-Monarch — 5 days ago