Algorithm Basics
Understand Big O notation, arrays, strings, and recursion.
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After this skill you can…
- Analyse time and space complexity with Big O
- Solve array and string problems efficiently
- Write recursive functions with base cases
Watch (10 videos)
Quant Interview Question #quant
→ Implement algorithms for solving recurrence relations→ Analyze problems using Markov chains
Professional PDF Reports with Matplotlib in Python
→ Apply algorithms for data analysis→ Use Matplotlib for reporting
Saylor Plans to sell $1.25B of Bitcoin. Good or Bad for BTC?
→ Analyze market trends→ Evaluate investment risks→ Understand cryptocurrency prices
Portfolio Analysis in Python with QuantStats
→ Implement QuantStats for portfolio analysis→ Evaluate portfolio performance using Python
The New Era of Sports Fandom: Inside NBA Top Shot with Matt Schorr
→ Apply algorithms to sports data→ Analyze digital asset trends→ Develop blockchain-based solutions
Find the Median in a Data Stream (Two Heaps Trick)
→ Implement the Two Heaps Trick to find the median in a data stream→ Use max and min heaps to keep boundary numbers instantly accessible
Intraday BankNifty Short Straddle: The Python Setup #algorithmictrading #quantinsti #quanttrading
→ Create a data frame for entry snapshots→ Filter the options chain at the exact entry timestamp
Introduction to Artificial Intelligence with Brian Yu - Chapter 1 - Playing (live, unedited)
→ Understand algorithm basics→ Apply algorithms to AI problems→ Analyze algorithm efficiency
Why Top Tech Companies Don’t Care About Your Degree Anymore
→ Apply Data Structures & Algorithms to solve problems→ Build efficient algorithms for real-world applications
How to Pass an IQ TEST: Questions and Answers
→ Apply logical deductions→ Solve algorithmic problems
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