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Dec 10, 2024 | 
medium.com | Umer Khan
Source(Google)Umer farooq khan·Follow5 min read·--The Center East, a district inseparable from verifiable importance and international significance, is as of now going through an extraordinary period set apart by political disturbances, financial moves, and developing worldwide relations. These progressions are reshaping the territorial scene, with sweeping ramifications for its kin and the worldwide local area.
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Nov 4, 2024 | 
mondaq.com | Umer Khan
On December 12, 2019, a press release from Riot Platforms
(Nasdaq: RIOT) boasted about purchasing 4,000 Bitmain S17 Pro
Antminers at its 12-megawatt facility in Oklahoma
City.1 Fast forward to Q3 2024, RIOT issued a press
release detailing the progress of Phase 1 of their Corsicana
Facility.
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Oct 30, 2024 | 
medium.com | Umer Khan
Umer Khan·Follow2 min read·--Sports are as important as their physical benefits for a mental and emotional well-being. Here's the significance of sports-Physical Importance: 1. Cardiac conditioning2. Strength increases3. Coordination and balance develop4. Weight control support5. Lower chronic diseases risk in diabetes and obesityMental and Emotional Importance : 1. Stress reduces2. Mood3. Increase focus and concentration4. Better teamwork and communication5. Improve self-confidenceSocial Importance :1.
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Oct 1, 2024 | 
plantengineering.com | Umer Khan |Chris Vavra |Nick Schiltz |Lucas Hall
Learning ObjectivesExplore challenges with maintaining legacy switchgear. Learn how equipment maintenance plans can enhance electrical safety. Learn the impact of modernization and digitalization to enhance optimization and effectiveness of equipment maintenance plans.
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Jul 1, 2024 | 
medium.com | Umer Khan
import numpy as np from sklearn.mixture import GaussianMixture import matplotlib.pyplot as plt # Generate sample data np.random.seed(0) n_samples = 1000 components = 3 data = np.random.randn(n_samples, 2) # Create a Gaussian Mixture Model gmm = GaussianMixture(n_components=components) gmm.fit(data) # Plot the data and the GMM colors = gmm.predict(data) plt.scatter(data[:, 0], data[:, 1], c=colors, cmap='viridis') plt.show() # Print the weights, means, and covariances print("Weights:",...
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Jun 29, 2024 | 
medium.com | Umer Khan
#importing libraries import numpy as np from sklearn.cluster import AgglomerativeClustering from sklearn.datasets import make_moons import matplotlib.pyplot as plt # Generate sample data (This will create a dataset with two clusters moon's like) X, _ = make_moons(n_samples=200, noise=0.05) # Visualize the dataset plt.title('Moon dataset') plt.scatter(X[:, 0], X[:, 1], c=_) plt.show() # Create agglomerative clustering object ac = AgglomerativeClustering(n_clusters=2, linkage='ward') # Fit the...
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Jun 28, 2024 | 
medium.com | Umer Khan
Unsupervised learning is one of the type of machine learning, where algorithms uncover hidden patterns and structures in data without prior knowledge of labels or outcomes. Algorithms in Unsupervised learning helps to draw clusters where data within a cluster have similarities with the data point in the cluster and dissimilar to other data points in other clusters. In this article, we'll delve into two fundamental clustering algorithms: K-Means and K-Medoids.
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Mar 5, 2024 | 
spglobal.com | Umer Khan
US corporate bond issuance got off to a sluggish start in 2024, a possible sign that higher-for-longer interest rates are denting companies' willingness to take on new debt. Nonfinancial companies issued $127.75 billion in new debt from Jan. 1 to Feb. 20, a roughly 16% fall from the same period in 2023, according to the latest S&P Global Market Intelligence data. The latest figure shows companies are less willing to take on new debt or refinance older debt.
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Aug 1, 2023 | 
spglobal.com | Umer Khan
US stocks gained momentum in July, with all 11 of the S&P 500 sectors logging increases. The S&P 500 gained 3.1%, finishing the month at 4,588.96. The Dow Jones Industrial Average performed slightly better with a 3.3% rise. Smaller-cap stocks logged the highest gains, with the Russell 2000 up 6.1% for the month. Sector performance All of the S&P 500 sector indexes rose during the month. The energy sector posted a 7.3% gain, the highest of any sector during July.
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Jul 5, 2023 | 
spglobal.com | Umer Khan
US stocks regained momentum in June, with all of the 11 S&P 500 sectors logging gains. The S&P 500 gained 6.5%, finishing the month at 4,450.38. The Dow Jones Industrial Average performed relatively weaker than the S&P 500, up 4.6%. Smaller-cap stocks logged the highest gains, with the Russell 2000 up by 7.9% for the month. Sector performance All of the 11 S&P 500 sector indexes rose during the month.
