Skip to main content

Fisherman Killing by US Warship

Tuesday it will initiate appropriate action in the killing of its fisherman by personnel on board a US naval vessel off Dubai, even as Washington conveyed its condolences over the death and ordered a probe.

I am  deeply saddened by the loss of life of the Indian fisherman  and the injuries sustained by the others.

I dont like this much of activities. This  is not a first time many time.   Srilankan Warship  also doing like that.

Our Indian government didnot action strongly that is problem.

I feel our indian peoples not safety.

Every Politician Seeing Them side Safety Only.


Same incident done Before 3month in kochin

India is already prosecuting two Italian marines in a Kochi court for killing two Indian fishermen off Kerala coast in the Arabian Sea in February.

My Suggestion We need proper safety  so politicians save to indians.



Comments

Popular posts from this blog

Stablecoin vs. Meme Coin: Key Differences Every Crypto Investor Should Know

 :   ### **1. Purpose & Function**    - **Stablecoin**: Designed for **stability**, pegged to a reserve asset (e.g., USD, gold, or another crypto). Used for trading, payments, and hedging against volatility.     *Examples: USDT, USDC, DAI*    - **Meme Coin**: Created for **hype, community, and speculation**, often with no real utility. Driven by social media trends and viral popularity.     *Examples: Dogecoin (DOGE), Shiba Inu (SHIB), Pepe (PEPE)*   ### **2. Price Stability**   - **Stablecoin**: Maintains a **fixed value** (e.g., $1 per coin). Low volatility.   - **Meme Coin**: **Extremely volatile**—prices can surge or crash rapidly based on hype.   ### **3. Backing & Security**   - **Stablecoin**: Backed by **fiat reserves, algorithms, or crypto collateral** (e.g., USDT is backed by USD reserves).   - **Meme Coin**: **No intrinsic backing**—value depen...

🧠 What is a Data Science Job?

A Data Scientist is like a detective who works with data instead of clues . Their job is to collect , clean , analyze , and interpret data to help companies make smart decisions. 📊 Key Roles & Responsibilities Collecting Data From websites, apps, sensors, databases, etc. Example: Getting data on how customers use an app. Cleaning Data Removing duplicate, missing, or incorrect entries. Like making sure the data is usable and correct. Analyzing Data Using statistical tools (like Excel, Python, R) Finding trends and patterns. Example: “Most customers buy on weekends.” Building Models (AI/ML) Predicting future outcomes using Machine Learning. Example: Predicting which customers might cancel a subscription. Communicating Results Making dashboards, charts, and reports. Explaining to management in a simple way. 💻 Skills Required Skill Purpose Python / R Programming languages for analysis SQL For accessing databases Excel / Tableau / Power BI For data visualization ...

Creating AI-Powered Resume for Interviews

 Creating a resume with AI support can streamline the process, improve formatting, and optimize content for Applicant Tracking Systems (ATS). Here’s a step-by-step guide: ### **Step 1: Gather Your Information**   Before using AI tools, compile:   - Contact details (name, email, phone, LinkedIn)   - Work experience (job titles, companies, dates, key achievements)   - Education (degrees, institutions, certifications)   - Skills (technical, soft, tools)   - Projects, awards, or volunteer work (if relevant)   ### **Step 2: Choose an AI Resume Builder**   Popular AI-powered tools include:   - **Resume.com** / **Zety** – Templates + AI suggestions   - **Kickresume** – AI-generated content + ATS optimization   - **Rezi.ai** – Tailors resumes for job descriptions   - **ChatGPT** / **Gemini** – Helps draft bullet points or summaries   ### **Step 3: Input Details ...