Top Tweets for #66daysofdata
Day 4 of #66DaysOfData
Today I learned:
Artificial Intelligence
I explored the N-Queen Problem, where the goal is to place n queens on an n × n chessboard so that none can attack each other. Unlike the sliding tile puzzle, the objective is not to find a path to a solution, but to find one or more valid board configurations. This showed me how AI can represent a problem as a state space and systematically explore possible solutions.
Day 3 of #66DaysOfData
Today I learned:
Artificial Intelligence
A useful way to understand AI problem-solving is through the sliding tile puzzle. Each arrangement of the tiles represents a state, while moving a tile into the blank space changes the puzzle from one state to another. The collection of all possible states and moves forms a state space, which AI algorithms explore to find a path from an initial state to a desired goal.
Applied Statistics
Statistics is not only about quantifying uncertainty but also about understanding and communicating data. It provides tools to analyze proportions, visualize patterns, identify trends, and support decision-making in areas such as public health, manufacturing, and elections.
Data Manipulation
I learned more about Database Management Systems (DBMS), which are software systems designed to store, manage, retrieve, and secure data. They are the backbone of many applications we use every day, from banking and online shopping to university record systems.
I have become a Master of Science in Data Science and in a bid to master the art, I will walk you through everything I have learned #PunIntended #66DaysOfData
I will become a data engineer and bag a decent job this year.
Day 62/#66daysofdata
Today I built:🚦 #AI City #Traffic Intelligence System
In my latest project, I built an AI-powered traffic analysis and prediction system that explores traffic patterns and predicts congestion using machine learning.
Check out: https://t.co/QCw0G0nV3L
Day 61 / 66 of #66DaysOfData 🚀
a chapter is slowly closing:
Today’s mission:
Build a User & Task Management System with Python + SQLite.
Users ✔
Tasks ✔
Database ✔
From scripts → to real systems.
Day 54 of #66DaysOfData: Life threw some outliers my way (illness & family priorities), but the model is back online! 🧿
Today's focus: 🚗 Built an End-to-End Car Price Prediction System with #TensorFlow. 📐💻
#DataScience #MachineLearning #100DaysOfCode #WomenInTech
Day 20 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about ROC (Receiver Operating Characteristic) curves and AUC (Area Under the Curve).
Day 19 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about maximum likelihood estimation (MLE) and the difference between probability and likelihood.
Day 18 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about linear regression, multiple regression, t-tests, and ANOVA tests.
Day 17 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned some simple yet interesting concepts about logarithms.
Learning outcomes:
• Logarithms simply isolate the exponents.
Day 16 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about the Central Limit Theorem, outliers, and the difference between standard deviation and standard error.
Day 11 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about statistical power and power analysis.
Learning outcomes:
• Statistical power is the probability of correctly rejecting the null hypothesis (i.e., detecting a real effect).
Day 10 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about the False Discovery Rate (FDR).
Day 9 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about p-hacking and how to avoid it using the False Discovery Rate (FDR).
Day 7 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about p-values and how they are used in hypothesis testing.
Learning outcomes:
• A p-value tells us how confident we should be that two things are different.
Day 6 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about hypothesis testing and the null hypothesis.
Learning outcomes:
• Hypothesis testing requires preliminary data, and choosing which hypothesis to test can be challenging.
Day 4 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned about mathematical models and how statistics help us evaluate how usable and reliable a model is.
Day 3 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
Today, I learned how to calculate and estimate population parameters for a normal distribution.
Learning outcomes:
Day 1 of #66DaysofData with
@KenJee_DS
@thedataprof
@joshuastarmer
I have learned about population and population parameters.
Population are the set of measurements
Population parameters determine how a distribution fits the population data
Day 1 of #66DaysofData with @KenJee_DS @thedataprof @joshuastarmer
- Learned about basic #statictics #Histograms
- Created data plots using #Python libraries Numpy and matplotlib
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