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Joined February 2010
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ᴅʜᴀʀᴍɪɴ retweeted
MACHINE LEARNING — MASTER TREE 🌲 Machine Learning │ ├── 01. Mathematics │ ├── Linear Algebra │ ├── Probability │ ├── Statistics │ ├── Calculus │ ├── Optimization │ └── Information Theory │ ├── 02. Python Foundations │ ├── NumPy │ ├── Pandas │ ├── Matplotlib │ ├── Seaborn │ ├── APIs │ └── Data Cleaning │ ├── 03. Data Preprocessing │ ├── Missing Values │ ├── Feature Engineering │ ├── Encoding │ ├── Scaling │ ├── Data Splitting │ └── Feature Selection │ ├── 04. Supervised Learning │ ├── Linear Regression │ ├── Logistic Regression │ ├── Decision Trees │ ├── Random Forest │ ├── XGBoost │ └── SVM │ ├── 05. Unsupervised Learning │ ├── K-Means │ ├── DBSCAN │ ├── Hierarchical Clustering │ ├── PCA │ ├── t-SNE │ └── Dimensionality Reduction │ ├── 06. Deep Learning │ ├── Neural Networks │ ├── CNNs │ ├── RNNs │ ├── LSTMs │ ├── Transformers │ └── Attention Mechanisms │ ├── 07. MLOps │ ├── Docker │ ├── Kubernetes │ ├── MLflow │ ├── Model Registry │ ├── Monitoring │ └── CI/CD for ML │ ├── 08. Generative AI │ ├── LLMs │ ├── Prompt Engineering │ ├── RAG │ ├── Fine-Tuning │ ├── Agents │ └── MCP │ ├── 09. Deployment │ ├── FastAPI │ ├── Flask │ ├── Cloud Deployment │ ├── APIs │ ├── Edge AI │ └── Inference Optimization │ └── 10. Future of ML ├── AI Agents ├── Multimodal AI ├── Robotics ├── Autonomous Systems └── AGI Research
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22 Monopoly Stocks in India for investment! 1- IRCTC (100% in the ticketing business) 2- HAL (100% in defense manufacturing) 3- CDSL (59% in depository business) 4- Coal India (82% in coal production) 5- Pidilite (70% share in adhesive) 6- Nestle (96.5% share in cerelac industry) 7- MCX (92% of India’s commodities exchange sector) 8- Syngene (50% of the contract research and manufacturing services (CRAMS) market in India) 9- Praj Industries (60% in ethanol plant installation industry) 10- Asahi India Glass (77% of the automotive glass market and 50% of the architectural glass market in India) 11- Hindustan Zinc (78% in zinc industry) 12- ITC (77% in cigarettes) 13- CONCOR (68.52% in cargo carrier) 14- BHEL (67% in the power equipment sector) 15- DFL (DreamFolks is India's largest airport service aggregator) 16- APL Apollo (50% share in pre-galvanised and structural tube industry) 17- Borosil Renewables (India's only solar glass maker for over a decade) 18- BKT (6% of the global off-highway tire market and 30% of the Indian market) 19- IEX (95% of short-term electricity contracts in India) 20- CAMS (70% within the mutual fund industry) 21- Marico (73% in oil products) 22- NOCIL (it is the largest rubber chemical manufacturing company with 40% market share in India) Which Stock You Are Holding ?? #stocks #investing
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ᴅʜᴀʀᴍɪɴ retweeted
Feb 18
With GEODNET empowering global precision layer, drones are moving beyond demos into production-ready workflows. Real smart agricultural utilization case in India👇🏻
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ᴅʜᴀʀᴍɪɴ retweeted
ATTENTION TRADERS THE CANDLESTICK BIBLE IS HERE ✅ MORNING STAR = BUY ✅ BULLISH ENGULFING = BUY ✅ HAMMER = BUY ❌ EVENING STAR = SELL ❌ BEARISH ENGULFING = SELL ❌ SHOOTING STAR = SELL ❌ HANGING MAN = SELL MASTER THESE PATTERNS. DOMINATE THE MARKET.
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ᴅʜᴀʀᴍɪɴ retweeted
Good move by the government You can now safely deposit WILL with the district registrar for ₹100
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ᴅʜᴀʀᴍɪɴ retweeted
𝟯𝟬 𝗕𝗹𝗼𝗴𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝟯𝟬 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀: 1. APIs: lnkd.in/dsbwPZ6N 2. API Gateways: lnkd.in/gtyXmvf4 3. JWTs: lnkd.in/ghtXYRqU 4. Webhooks: lnkd.in/geHxGX-7 5. REST vs GraphQL: lnkd.in/gM5VHKQS 6. Load Balancing: lnkd.in/gvxfwEUr 7. Proxy vs Reverse Proxy: lnkd.in/gMTtidBq 8. Scalability: lnkd.in/gPGhW-qK 9. Availability: lnkd.in/gQk2p4_6 10. SPOF: lnkd.in/gw_uHZWn 11. CAP Theorem: lnkd.in/g_tFqJJb 12. SQL vs NoSQL: lnkd.in/gHyC9qWc 13. ACID Transactions: lnkd.in/dB3QHiMz 14. Database Indexes: lnkd.in/g_-bQWtA 15. Database Sharding: lnkd.in/g9mc-d5m 16. Consistent Hashing: lnkd.in/gR9wFDpz 17. CDC: lnkd.in/gWhGwh9Z 18. Caching: lnkd.in/gBSeTstS 19. Caching Strategies: lnkd.in/dVk7nZ_Y 20. Cache Eviction Policies: lnkd.in/gQAEXEmq 21. CDN: lnkd.in/gaW4Vkpy 22. Rate Limiting Algorithms: lnkd.in/gYDxg8XY 23. Message Queues: lnkd.in/g-jnNGDC 24. Bloom Filters: lnkd.in/gfGjCrSZ 25. Idempotency: lnkd.in/gDB3AJij 26. Concurrency vs Parallelism: lnkd.in/gGZXhjBD 27. Long Polling vs WebSockets: lnkd.in/d9xKD28K 28. Stateful vs. Stateless Architecture: lnkd.in/gz_ccK-Y 29. Batch vs Stream Processing: lnkd.in/gKtj_qWh 30. Geohashing: lnkd.in/gjSbKdpN 🔁 Repost to help a friend. 📌 Save this post for later.
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ᴅʜᴀʀᴍɪɴ retweeted
📊 Top 12 Mutual Funds Across Key Categories 🔳 Flexi Cap ▪️ Parag Parikh Flexi Cap Fund ▪️ HDFC Flexi Cap Fund ▪️ Helios Flexi Cap Fund 🔳 Small Cap ▪️ Nippon India Small Cap ▪️ HDFC Small Cap ▪️ Quant Small Cap Fund 🔳 Mid Cap ▪️ HDFC Mid Cap Fund ▪️ Invesco India Mid Cap Fund ▪️ Motilal Oswal Midcap Fund 🔳 Large Cap ▪️ ICICI Prudential Large Cap ▪️ Nippon India Large Cap ▪️ Mirae Asset Large Cap Fund Disclaimer: 🚫 No Recommendation. Do your own research before investing.
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ᴅʜᴀʀᴍɪɴ retweeted
Learn these 3 major trading concepts here
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ᴅʜᴀʀᴍɪɴ retweeted
Every Trading Strategy Explained in 6 Minutes 0:00 - Fibonacci Retracements 0:27 - Chart Patterns 1:01 - Elliot Wave 1:51 - FVG 3:06 - Support & Resistance 5:01 - Volume 5:22 - Supply and Demand 5:50 - Break of Structure 5:58 - Change of Character
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ᴅʜᴀʀᴍɪɴ retweeted
This is a Big News! Parle Products Initiates Talks for its Mega IPO The Legacy FMCG Giant has started discussions with Kotak Mahindra Capital, JM Financial, Axis Capital and another two Bankers Parle Products remains one of India’s largest unlisted companies. Founded in 1929 by the Chauhan family in Mumbai, the business is now led by the third generation—Vijay, Sharad, and Raj Chauhan—and is 100% promoter-owned. The Parle-G parent has reported ~18,000 Crores in Revenues in FY25 Parle-G is ranked as world’s top-selling biscuit brands, Its portfolio also includes Monaco, KrackJack, Hide & Seek, Melody, 20-20, Mango Bite, Londonderry, Kismi, Etc. The IPO is likely to be a Full OFS, formal pitches are expected in progress by Mid-May
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ᴅʜᴀʀᴍɪɴ retweeted
🚨 MASTER THE MARKET WITH VOLUME PROFILE 🚨 Smart money leaves clues, and volume tells the story. ✍️High volume zones = strong resistance 🟢 Low volume zones = fast moves ✍️ POC = your high-probability entry Learn to read supply, spot distribution, and catch the drop before it happens. Trade smarter, not harder.
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ᴅʜᴀʀᴍɪɴ retweeted
CONTINUATION REVERSAL PATTERNS.
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ᴅʜᴀʀᴍɪɴ retweeted
The Only EMA System You’ll Ever Need (Used the Right Way) Price doesn’t “respect” indicators. It respects the average cost of smart money. That’s all EMAs are. EMA = context, not magic. • EMA 9 → Intraday traders • EMA 21 → Swing traders • EMA 50 → Trend traders • EMA 200 → Investors & big trends Different EMAs = different players. Market control rule: Price above EMA → Buyers in control Price below EMA → Sellers in control High-probability filter: ✔ Price above 200 EMA ✔ 21 EMA above 50 EMA ✔ Pullback toward 21 EMA ✔ Volume dries up on pullback ✔ Buy only on bullish candle near 21 EMA Trend phases: 1️⃣ Initiation 2️⃣ EMA pullback 3️⃣ Momentum expansion 4️⃣ Weakness (stop chasing) Exit like a pro: • Take partials at 1:2 RR • Move stop to breakeven • Trail with 21 EMA • Exit fully if price closes below 50 EMA EMAs don’t predict. They protect you from bad trades. Trade with context. Stay patient. #trading #investing
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ᴅʜᴀʀᴍɪɴ retweeted
Free Online Cybersecurity Courses and Certifications in 2026. Here are 15 FREE courses to help you master Cybersecurity 👇👇 1. IBM Cybersecurity Analyst Professional Certificate 🔗imp.i384100.net/Y9x7eO 2. Microsoft Cybersecurity Analyst Professional Certificate 🔗 imp.i384100.net/ZQ4bNQ 3. Cloud Application Development Foundations Specialization 🔗 imp.i384100.net/m5BYMD 4. Developing Applications with Google Cloud Specialization 🔗 imp.i384100.net/zNqg4e 5. Introduction to Cloud Computing 🔗 imp.i384100.net/DKr7vy 6. Understanding Google Cloud Security and Operations 🔗 imp.i384100.net/Qyg7MY 7. Innovating with Data and Google Cloud 🔗 imp.i384100.net/5g3ovn 8. Microsoft Azure Fundamentals: Describe cloud concepts 🔗 learn.microsoft.com/en-us/tr… 9. GoogleCloud: Google Cloud Computing Foundations: Cloud Computing Fundamentals 🔗 edx.org/learn/cloud-computin… 10. Cloud Computing Basics (Cloud 101) 🔗imp.i384100.net/DKr7vq 11. IT Fundamentals for Cybersecurity Specialization 🔗imp.i384100.net/9g307Q 12. Introduction to Cybersecurity Tools & Cyber Attacks 🔗 imp.i384100.net/PyZ7Mq 13. Cyber Security Course for Beginners udemy.com/course/certified-s… 14. Introduction to Cyber Security mygreatlearning.com/academy/… 15. For Beginners simplilearn.com/learn-cyber-… Happy Learning 🌟
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ᴅʜᴀʀᴍɪɴ retweeted
Stop wasting hours trying to learn AI. 📘📚 I have already done it for you. With one list. Zero confusion. And no fluff 📹 Videos: 1. LLM Introduction: lnkd.in/dMqbaZdK 2. LLMs from Scratch: lnkd.in/dYYwEhYy 3. Agentic AI Overview (Stanford): lnkd.in/dArmMt2i 4. Building and Evaluating Agents: lnkd.in/dBWd2W8u 5. Building Effective Agents: lnkd.in/dHfdebqw 6. Building Agents with MCP: lnkd.in/dXuNHrRJ 7. Building an Agent from Scratch: lnkd.in/da3ANw3w 8. Philo Agents: lnkd.in/dq-BfZE5 🗂️ Repos 1. GenAI Agents: lnkd.in/d3UDtwwv 2. Microsoft's AI Agents for Beginners: lnkd.in/dHvTmJnv 3. Prompt Engineering Guide: lnkd.in/gJjGbxQr 4. Hands-On Large Language Models: lnkd.in/dxaVF86w 5. AI Agents for Beginners: lnkd.in/dHvTmJnv 6. GenAI Agentshttps://lnkd.in/dEt72MEy 7. Made with ML: lnkd.in/d2dMACMj 8. Hands-On AI Engineering:lnkd.in/dgQtRyk7 9. Awesome Generative AI Guide: lnkd.in/dJ8gxp3a 10. Designing Machine Learning Systems: lnkd.in/dEx8sQJK 11. Machine Learning for Beginners from Microsoft: lnkd.in/dBj3BAEY 12. LLM Course: lnkd.in/diZgGACG 🗺️ Guides 1. Google's Agent Whitepaper: lnkd.in/gFvCfbSN 2. Google's Agent Companion: lnkd.in/gfmCrgAH 3. Building Effective Agents by Anthropic: lnkd.in/gRWKANS4. 4. Claude Code Best Agentic Coding practices: lnkd.in/gs99zyCf 5. OpenAI's Practical Guide to Building Agents: lnkd.in/guRfXsFK 📚Books: 1. Understanding Deep Learning: lnkd.in/dgcB68Qt 2. Building an LLM from Scratch: lnkd.in/g2YGbnWS 3. The LLM Engineering Handbook: lnkd.in/gWUT2EXe 4. AI Agents: The Definitive Guide - Nicole Koenigstein: lnkd.in/dJ9wFNMD 5. Building Applications with AI Agents - Michael Albada: lnkd.in/dSs8srk5 6. AI Agents with MCP - Kyle Stratis: lnkd.in/dR22bEiZ 7. AI Engineering: lnkd.in/gi-mQcXa 📜 Papers 1. ReAct: lnkd.in/gRBH3ZRq 2. Generative Agents: lnkd.in/gsDCUsWm. 3. Toolformer: lnkd.in/gyzrege6 4. Chain-of-Thought Prompting: lnkd.in/gaK5CXzD. 🧑🏫 Courses: 1. HuggingFace's Agent Course: lnkd.in/gmTftTXV 2. MCP with Anthropic: lnkd.in/geffcwdq 3. Building Vector Databases with Pinecone: lnkd.in/gCS4sd7Y 4. Vector Databases from Embeddings to Apps: lnkd.in/gm9HR6_2 5. Agent Memory: lnkd.in/gNFpC542 Repost for your network ♻️
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ᴅʜᴀʀᴍɪɴ retweeted
This provides an overview of how traders identify floor levels in an uptrend using three distinct methods which are Structure Breaks, Rising Trendlines, and Moving Averages. By illustrating how prior resistance flips into support and how dynamic indicators adapt to price action, the shows potential buying opportunities and trend continuity in the financial markets.
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