Aspiring Data Scientist , Proficient in Python & its libraries (pandas, numpy, matplotlib/seaborn, scikit-learn), SQL, and Advanced Excel for data analysis and manipulation. Skilled in data visualization and making interactive dashboards using Tableau and Power BI. Experienced in MERN stack for full-stack development and Java for programming. Passionate about AI/ML and working with Linux-based systems. Actively contributing to open-source projects and eager to leverage data-driven insights to solve real-world problems.
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May 5, 2025 · 7 min read · MySQL is one of the most popular open-source relational database management systems, powering countless applications and services. In this technical blog, we’ll walk through installing, configuring, and securing MySQL across three major platforms: ge...
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Feb 12, 2025 · 8 min read · Components of ML Machine learning is a complex field that involves two primary components: the ML life cycle and algorithms. ML Life Cycle: Involves stages such as problem definition, data collection, preprocessing, model selection, training, evalua...
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Feb 8, 2025 · 3 min read · To train a model, we need to feed it Data. Data which is “cleaned” and “appropriate” for training our machine. Appropriate data means it is “only that much” that is required, consisting of no duplicate values, and irrelevant data(row or column or Nul...
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Feb 6, 2025 · 1 min read · NumPy or Numerical python is a python library used for “numerical computing” in python. It that provides a multidimensional array object Numpy cheatsheet 1. import numpy as np # Import numpy library 2. arr = np.array([1, 2, 3]) # Create a numpy ...
Join discussionFeb 4, 2025 · 3 min read · Basic Pandas Commands for Data Loading, Exploration, and Manipulation import pandas as pd #To import pandas library in notebook df = pd.read_csv('filename.csv') or pd.read_csv(r’location/folder/filename.csv’) or pd.read_excel(’filename.xlsx’) #To L...
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