doddi naresh @_naresh_doddi

Lifelong Learner | 📊 Data Storyteller | 💡 Predicting the future with numbers | Passionate about AI, ML & Data Analytics | Always asking why. Bengaluru Joined April 2024

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doddi naresh @_naresh_doddi

2 months ago

Drillthrough Filters Use Drillthrough Filters ➤ Right-click a data point ➤ "Drillthrough" ➤ Takes you to a focused detail page ✅Great for user-driven deep dives into data Combine with tooltips for pro-level UX! #PowerBI #DataAnalytics #BI #184DaysOfCode #DataViz

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doddi naresh @_naresh_doddi

2 months ago

Implement a Stack using Python list stack = [] stack.append(10) stack.append(20) stack.pop() # Removes 20 LIFO behavior (Last In, First Out) Used in parsing, recursion, undo features #Python #DSA #CodingInterview #184DaysOfCode #Algorithms

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doddi naresh @_naresh_doddi

2 months ago

Feature Scaling in Machine Learning Do you know that feature scaling can make or break your model's performance? Standardization Min-Max Scaling Robust Scaling ...ensure that features contribute equally to distance-based algorithms like KNN, SVM, and Gradient Descent!

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doddi naresh @_naresh_doddi

2 months ago

Palindrome Check (String) Check if a string is a palindrome def is_palindrome(s): return s == s[::-1] Simple & clean logic “madam” ➤ True “hello” ➤ False #Python #DSA #Coding #184DaysOfCode #Algorithms

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doddi naresh @_naresh_doddi

2 months ago

GROUP BY Group and aggregate data using GROUP BY SELECT dept, COUNT(*) FROM employees GROUP BY dept; Groups data and counts employees per department Works with SUM(), AVG(), MAX() etc. #SQL #LearnSQL #DataAnalytics #Database #184DaysOfCode

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doddi naresh @_naresh_doddi

2 months ago

Train/Test Split Always split your dataset from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2) Prevents data leakage Ensures fair evaluation Test size = typically 20–30% #MachineLearning #ML #DataScience

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doddi naresh @_naresh_doddi

2 months ago

Reversing a List in Python Want to reverse a list in Python? nums = [1, 2, 3, 4] print(nums[::-1]) Output: [4, 3, 2, 1] Tip: Use [::-1] for clean slicing tricks What’s your favorite Python one-liner? #Python #DSA #CodingTips #184DaysLearn #DevCommunity

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doddi naresh @_naresh_doddi

2 months ago

f-strings Use f-strings for cleaner output. name = "Naresh" age = 25 print(f"Hello {name}, you are {age} years old.") Faster and neater than .format() or % How often do you use f-strings? #Python #PythonTips #184DaysOfCode #LearnToCode

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doddi naresh @_naresh_doddi

2 months ago

Accuracy vs Precision vs Recall ML Metrics – Don't just rely on Accuracy! Accuracy: Correct predictions / Total Precision: TP / (TP + FP) Recall: TP / (TP + FN) Choose based on your problem! Fraud? Use Precision Medical? Use Recall #Day10 #MachineLearning #ML #AI #DataScience

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doddi naresh @_naresh_doddi

2 months ago

Power BI: Tooltips Use Report Page Tooltips ➤ Create a small page ➤ Enable "Tooltip" under Page Info ➤ Assign it to charts ✅Adds more info on hover without cluttering visuals Try this trick in your reports #PowerBI #DataAnalytics #BusinessIntelligence #184DaysOfCode

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doddi naresh @_naresh_doddi

2 months ago

Ever wondered why your ML model underperforms? Feature Scaling is the secret! Algorithms like SVM, KNN, Logistic Regression rely heavily on distance metrics. Without scaling, one feature can dominate others! Use StandardScaler or MinMaxScaler wisely. #MachineLearning #Data #AI

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doddi naresh @_naresh_doddi

2 months ago

LIKE operator Use LIKE to search patterns in text SELECT * FROM users WHERE name LIKE 'A%'; Finds names that start with A % = wildcard _ = one character wildcard Have you used LIKE in PostgreSQL? #Day8 #SQL #Database #LearnSQL #DataEngineering #184DaysOfLearning

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doddi naresh @_naresh_doddi

2 months ago

zip() Function Combine two lists using zip() names = ['A', 'B'] scores = [90, 80] print(list(zip(names, scores))) # [('A', 90), ('B', 80)] Use zip() for parallel iteration Bonus: Unzip with zip(*zipped) #Day6 #Python #PythonTips #LearnToCode #100DaysOfCode

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doddi naresh @_naresh_doddi

2 months ago

Slicer Sync Power BI : Sync your slicers across pages Go to: View ➤ Sync Slicers Applies user filter across multiple report pages Improves report navigation & user experience Try this in your next dashboard! #Day5 #PowerBI #DataAnalytics #MicrosoftPowerBI #184DaysOfCode

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doddi naresh @_naresh_doddi

2 months ago

Two Sum Problem (Brute Force) for i in range(len(nums)): for j in range(i+1, len(nums)): if nums[i] + nums[j] == target: return [i, j] ❌ Time: O(n²) ✅ Works, but not optimal Want the hash map version next? #Python #LeetCode #DSA #184DayCode #Algorithms

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doddi naresh @_naresh_doddi

2 months ago

Overfitting vs Underfitting ML Basics: Overfitting = model memorizes training data Underfitting = model is too simple Goal = balance bias vs variance Use validation set to detect both What was your first ML model? #Day3 #MachineLearning #ML #AI #DataScience #184DaysOfCode

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doddi naresh @_naresh_doddi

2 months ago

SQL: NULL vs Blank SQL Tip: NULL ≠ ' ' NULL = unknown ' ' = empty but known Use IS NULL or IS NOT NULL, not = Example: SELECT * FROM users WHERE email IS NULL; Real-world : Filtering records like missing emails, phone numbers #SQL #LearnSQL #DatabaseTips #184DaysOfCode

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doddi naresh @_naresh_doddi

2 months ago

Python – List Comprehension Want a cleaner way to build lists in Python? [x**2 for x in range(10) if x % 2 == 0] Builds a list of even squares. Faster & more readable than loops. Have you used nested list comprehensions yet? 🤔 #Python #CodeNewbie

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doddi naresh @_naresh_doddi

2 months ago

Day 1: I'm kicking off a daily technical series until Dec 31 ! Every day: Python, SQL, Power BI, DSA, ML & more. Follow along, learn with me, and let’s grow together!📌 Day 1 drops in a few minutes. #184DaysOfCode #TechTwitter #Python #SQL #PowerBI